Register      Login
Australian Journal of Botany Australian Journal of Botany Society
Southern hemisphere botanical ecosystems

Articles citing this paper

Remote Sensing of Water Content in Eucalyptus Leaves

Bisun Datt
47(6) pp.909 - 923


160 articles found in Crossref database.

Deriving leaf mass per area (LMA) from foliar reflectance across a variety of plant species using continuous wavelet analysis
Cheng Tao, Rivard Benoit, Sánchez-Azofeifa Arturo G., Féret Jean-Baptiste, Jacquemoud Stéphane, Ustin Susan L.
ISPRS Journal of Photogrammetry and Remote Sensing. 2014 87 p.28
Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics
Liu Tao, Zhu Shaolong, Yang Tianle, Zhang Weijun, Xu Yang, Zhou Kai, Wu Wei, Zhao Yuanyuan, Yao Zhaosheng, Yang Guanshuo, Wang Ying, Sun Chengming, Sun Jianjun
Computers and Electronics in Agriculture. 2024 218 p.108685
PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images
Bhadra Sourav, Sagan Vasit, Sarkar Supria, Braud Maxwell, Mockler Todd C., Eveland Andrea L.
ISPRS Journal of Photogrammetry and Remote Sensing. 2024 210 p.1
A novel restoration approach for vegetation reflectance spectra at noisy bands using the principal component analysis method
Song Bowen, Liu Liangyun, Zhang Bing
International Journal of Remote Sensing. 2020 41(6). p.2303
Remote sensing of grassland–shrubland vegetation water content in the shortwave domain
Davidson Andrew, Wang Shusen, Wilmshurst John
International Journal of Applied Earth Observation and Geoinformation. 2006 8(4). p.225
Estimation of live fuel moisture content from MODIS images for fire risk assessment
Yebra Marta, Chuvieco Emilio, Riaño David
Agricultural and Forest Meteorology. 2008 148(4). p.523
Optimal vegetation index for assessing leaf water potential using reflectance factors from the adaxial and abaxial surfaces
Wang Zitong, Sun Zhongqiu, Lu Shan
Computers and Electronics in Agriculture. 2020 172 p.105337
Predicting water stress induced by Thaumastocoris peregrinus infestations in plantation forests using field spectroscopy and neural networks
Oumar Z., Mutanga O.
Journal of Spatial Science. 2014 59(1). p.79
Monitoring the leaf water content and specific leaf weight of cotton (Gossypium hirsutum L.) in saline soil using leaf spectral reflectance
Zhang Lei, Zhou Zhiguo, Zhang Guowei, Meng Yali, Chen Binglin, Wang Youhua
European Journal of Agronomy. 2012 41 p.103
Evaluation of Continuous VNIR-SWIR Spectra versus Narrowband Hyperspectral Indices to Discriminate the Invasive Acacia longifolia within a Mediterranean Dune Ecosystem
Große-Stoltenberg André, Hellmann Christine, Werner Christiane, Oldeland Jens, Thiele Jan
Remote Sensing. 2016 8(4). p.334
The Roles of Remote Sensing in Nature Conservation (2017)
Jones Gwawr, Bunting Peter, Hurford Clive
Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images
Iordache Marian-Daniel, De Keukelaere Liesbeth, Moelans Robrecht, Landuyt Lisa, Moshtaghi Mehrdad, Corradi Paolo, Knaeps Els
Remote Sensing. 2022 14(22). p.5820
Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies
Danner Martin, Berger Katja, Wocher Matthias, Mauser Wolfram, Hank Tobias
Remote Sensing. 2019 11(10). p.1150
Mapping relative water content in Douglas-Fir with AVIRIS and a canopy model
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. (2005)
Jingyang Li , Goodenough D.G., Dyk A.
Tunable 975  nm nanosecond diode-laser-based master-oscillator power-amplifier system with 163  W peak power and narrow spectral linewidth below 10  pm
Vu Thi Nghiem, Klehr Andreas, Sumpf Bernd, Wenzel Hans, Erbert Götz, Tränkle Günther
Optics Letters. 2014 39(17). p.5138
Crop classification from Sentinel-2-derived vegetation indices using ensemble learning
Sonobe Rei, Yamaya Yuki, Tani Hiroshi, Wang Xiufeng, Kobayashi Nobuyuki, Mochizuki Kan-ichiro
Journal of Applied Remote Sensing. 2018 12(02). p.1
Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress
Buddenbaum Henning, Stern Oksana, Stellmes Marion, Stoffels Johannes, Pueschel Pyare, Hill Joachim, Werner Willy
Remote Sensing. 2012 4(12). p.3721
UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques
Impollonia Giorgio, Croci Michele, Ferrarini Andrea, Brook Jason, Martani Enrico, Blandinières Henri, Marcone Andrea, Awty-Carroll Danny, Ashman Chris, Kam Jason, Kiesel Andreas, Trindade Luisa M., Boschetti Mirco, Clifton-Brown John, Amaducci Stefano
Remote Sensing. 2022 14(12). p.2927
Spectral sensing of foliar water conditions in two co-occurring conifer species: Pinus edulis and Juniperus monosperma
Stimson Hugh C., Breshears David D., Ustin Susan L., Kefauver Shawn C.
Remote Sensing of Environment. 2005 96(1). p.108
Improving the estimation of rice above-ground biomass based on spatio-temporal UAV imagery and phenological stages
Dai Yan, Yu Shuang’en, Ma Tao, Ding Jihui, Chen Kaiwen, Zeng Guangquan, Xie Airong, He Pingru, Peng Suhan, Zhang Mengxi
Frontiers in Plant Science. 2024 15
Ground Hyper-Spectral Remote-Sensing Monitoring of Wheat Water Stress during Different Growing Stages
Li Qiang, Gao Maofang, Li Zhao-Liang
Agronomy. 2022 12(10). p.2267
The Canopy Semi-analytic Pgap And Radiative Transfer (CanSPART) model: Formulation and application
Haverd V., Lovell J.L., Cuntz M., Jupp D.L.B., Newnham G.J., Sea W.
Agricultural and Forest Meteorology. 2012 160 p.14
Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine Learning Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Images
Zhang Changsai, Yi Yuan, Wang Lijuan, Zhang Xuewei, Chen Shuo, Su Zaixing, Zhang Shuxia, Xue Yong
Remote Sensing. 2024 16(3). p.469
Models of Eucalypt phenology predict bat population flux
Giles John R., Plowright Raina K., Eby Peggy, Peel Alison J., McCallum Hamish
Ecology and Evolution. 2016 6(20). p.7230
Canopy Spectral Reflectance as a Predictor of Soil Water Potential in Rice
Panigrahi N., Das B. S.
Water Resources Research. 2018 54(4). p.2544
Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning
Badreldin Nasem, Prieto Beatriz, Fisher Ryan
Remote Sensing. 2021 13(24). p.4972
Innovations in Remote Sensing and Photogrammetry (2009)
Barry Karen, Corkrey Ross, Stone Christine, Mohammed Caroline
Review of remotely sensed data products for disease mapping and epidemiology
Dlamini Sabelo Nick, Beloconi Anton, Mabaso Sizwe, Vounatsou Penelope, Impouma Benido, Fall Ibrahima Socé
Remote Sensing Applications: Society and Environment. 2019 14 p.108
Remote Sensing of Northwest Himalayan Ecosystems (2019)
Nandy Subrata, Ghosh Surajit, Kushwaha S. P. S., Senthil Kumar A.
Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images
Arellano Paul, Tansey Kevin, Balzter Heiko, Boyd Doreen S.
Environmental Pollution. 2015 205 p.225
Remote sensing of canopy water status of the irrigated winter wheat fields and the paired anomaly analyses on the spectral vegetation indices and grain yields
Solgi Shahin, Ahmadi Seyed Hamid, Seidel Sabine Julia
Agricultural Water Management. 2023 280 p.108226
Advances in Crop Environment Interaction (2018)
Das Bappa, Mahajan Gopal R., Singh Ronald
Improving the Selection of Vegetation Index Characteristic Wavelengths by Using the PROSPECT Model for Leaf Water Content Estimation
Yang Jian, Zhang Yangyang, Du Lin, Liu Xiuguo, Shi Shuo, Chen Biwu
Remote Sensing. 2021 13(4). p.821
GeoAI for Disaster Mitigation: Fire Severity Prediction Models using Sentinel-2 and ANN Regression
2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) (2022)
D. Ali Syamani, Ridwan Ichsan, Septiana Meldia, Fithria Abdi, Agustina Rezekiah Arfa, Rahmadi Adi, Asyari Mufidah, Rahman Hidayatul, Ayu Syafarina Gita
Remote Estimation of Leaf and Canopy Water Content in Winter Wheat with Different Vertical Distribution of Water-Related Properties
Liu Shishi, Peng Yi, Du Wei, Le Yuan, Li Lu
Remote Sensing. 2015 7(4). p.4626
Spectral Response of Potato Crop to Accumulative Moisture Stress Estimated from Hydrus-1D Simulated Daily Soil Moisture During Tuber Bulking Stage
Dutta Dibyendu, Das Prabir Kumar, Paul Soubhik, Khemka Tanmay, Nanda Manoj Kumar, Dadhwal Vinay Kumar
Journal of the Indian Society of Remote Sensing. 2016 44(3). p.363
Identification of robust hyperspectral indices on forest leaf water content using PROSPECT simulated dataset and field reflectance measurements
Wang Quan, Li Pingheng
Hydrological Processes. 2012 26(8). p.1230
Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response
Casas A., Riaño D., Ustin S.L., Dennison P., Salas J.
Remote Sensing of Environment. 2014 148 p.28
Retrieval of leaf water content spanning the visible to thermal infrared spectra
Ullah Saleem, Skidmore Andrew K., Ramoelo Abel, Groen Thomas A., Naeem Mohammad, Ali Asad
ISPRS Journal of Photogrammetry and Remote Sensing. 2014 93 p.56
The Potential of EnMAP and Sentinel-2 Data for Detecting Drought Stress Phenomena in Deciduous Forest Communities
Dotzler Sandra, Hill Joachim, Buddenbaum Henning, Stoffels Johannes
Remote Sensing. 2015 7(10). p.14227
Modelling Aboveground Biomass Carbon Stock of the Bohai Rim Coastal Wetlands by Integrating Remote Sensing, Terrain, and Climate Data
Sun Shaobo, Wang Yafei, Song Zhaoliang, Chen Chu, Zhang Yonggen, Chen Xi, Chen Wei, Yuan Wenping, Wu Xiuchen, Ran Xiangbin, Wang Yidong, Li Qiang, Wu Lele
Remote Sensing. 2021 13(21). p.4321
Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning
Batchelor Jonathan L., Rowell Eric, Prichard Susan, Nemens Deborah, Cronan James, Kennedy Maureen C., Moskal L. Monika
Remote Sensing. 2023 15(6). p.1482
Predicting Thaumastocoris peregrinus damage using narrow band normalized indices and hyperspectral indices using field spectra resampled to the Hyperion sensor
Oumar Z., Mutanga O., Ismail R.
International Journal of Applied Earth Observation and Geoinformation. 2013 21 p.113
Hyperspectral Remote Sensing (2020)
Arellano Paul, Stratoulias Dimitris
Multi-scale monitoring of rice aboveground biomass by combining spectral and textural information from UAV hyperspectral images
Xu Tianyue, Wang Fumin, Shi Zhou, Miao Yuxin
International Journal of Applied Earth Observation and Geoinformation. 2024 127 p.103655
Comparison of different uni- and multi-variate techniques for monitoring leaf water status as an indicator of water-deficit stress in wheat through spectroscopy
Das Bappa, Sahoo Rabi N., Pargal Sourabh, Krishna Gopal, Verma Rakesh, Chinnusamy Viswanathan, Sehgal Vinay K., Gupta Vinod K.
Biosystems Engineering. 2017 160 p.69
Predicting plant water content in Eucalyptus grandis forest stands in KwaZulu-Natal, South Africa using field spectra resampled to the Sumbandila Satellite Sensor
Oumar Z., Mutanga O.
International Journal of Applied Earth Observation and Geoinformation. 2010 12(3). p.158
An Accurate and Automated Method for Identifying and Mapping Exposed Rock Outcrop in Antarctica Using Landsat 8 Images
Kang Jing, Cheng Xiao, Hui Fengming, Ci Tianyu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018 11(1). p.57
Estimation of leaf water content in cotton by means of hyperspectral indices
Yi Qiu-xiang, Bao An-ming, Wang Qiang, Zhao Jin
Computers and Electronics in Agriculture. 2013 90 p.144
Determination of plant water status using THz radiation
CLEO Pacific Rim Conference (2018)
Li Ran, Lu Yaojie, Lee Andrew J.
Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics
Ewane Ewane Basil, Mohan Midhun, Bajaj Shaurya, Galgamuwa G. A. Pabodha, Watt Michael S., Arachchige Pavithra Pitumpe, Hudak Andrew T., Richardson Gabriella, Ajithkumar Nivedhitha, Srinivasan Shruthi, Corte Ana Paula Dalla, Johnson Daniel J., Broadbent Eben North, de-Miguel Sergio, Bruscolini Margherita, Young Derek J. N., Shafai Shahid, Abdullah Meshal M., Jaafar Wan Shafrina Wan Mohd, Doaemo Willie, Silva Carlos Alberto, Cardil Adrian
Remote Sensing. 2023 15(10). p.2627
Measuring cotton water status using water-related vegetation indices at leaf and canopy levels
YI QiuXiang, BAO AnMing, LUO Yi, ZHAO Jin
Journal of Arid Land. 2012 4(3). p.310
High-spectral resolution data for determining leaf water content inEucalyptusspecies: leaf level experiments
Kumar L.
Geocarto International. 2007 22(1). p.3
Predicting Urban Trees’ Functional Trait Responses to Heat Using Reflectance Spectroscopy
Kyaw Thu Ya, Alonzo Michael, Baker Matthew E., Eisenman Sasha W., Caplan Joshua S.
Remote Sensing. 2024 16(13). p.2291
Vegetation water content during SMEX04 from ground data and Landsat 5 Thematic Mapper imagery
Yilmaz M. Tugrul, Hunt E. Raymond, Goins Lyssa D., Ustin Susan L., Vanderbilt Vern C., Jackson Thomas J.
Remote Sensing of Environment. 2008 112(2). p.350
Monitoring live fuel moisture content of heathland, shrubland and sclerophyll forest in south-eastern Australia using MODIS data
Caccamo G., Chisholm L. A., Bradstock R. A., Puotinen M. L., Pippen B. G.
International Journal of Wildland Fire. 2012 21(3). p.257
Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?
Schratz Patrick, Muenchow Jannes, Iturritxa Eugenia, Cortés José, Bischl Bernd, Brenning Alexander
Remote Sensing. 2021 13(23). p.4832
UAV Hyperspectral Characterization of Vegetation Using Entropy-Based Active Sampling for Partial Least Square Regression Models
Amitrano Donato, Cicala Luca, De Mizio Marco, Tufano Francesco
Applied Sciences. 2023 13(8). p.4812
Spectroscopic determination of leaf water content using continuous wavelet analysis
2010 IEEE International Geoscience and Remote Sensing Symposium (2010)
Cheng Tao, Rivard Benoit, Arturo Sanchez-Azofeifa G.
Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves
Li Dasui, Hu Qingqing, Ruan Siqi, Liu Jun, Zhang Jinzhi, Hu Chungen, Liu Yongzhong, Dian Yuanyong, Zhou Jingjing
Remote Sensing. 2023 15(20). p.4934
Predicting stem borer density in maize using RapidEye data and generalized linear models
Abdel-Rahman Elfatih M., Landmann Tobias, Kyalo Richard, Ong’amo George, Mwalusepo Sizah, Sulieman Saad, Ru Bruno Le
International Journal of Applied Earth Observation and Geoinformation. 2017 57 p.61
Multivariate Climate Change Can Favor Large Herbivore Body Size in Food Webs
Smith-Ramesh Lauren M., Rosenblatt Adam E., Schmitz Oswald J.
The American Naturalist. 2018 191(3). p.333
Environmental drivers of spatiotemporal foraging intensity in fruit bats and implications for Hendra virus ecology
Giles John R., Eby Peggy, Parry Hazel, Peel Alison J., Plowright Raina K., Westcott David A., McCallum Hamish
Scientific Reports. 2018 8(1).
Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning
Féret J.-B., le Maire G., Jay S., Berveiller D., Bendoula R., Hmimina G., Cheraiet A., Oliveira J.C., Ponzoni F.J., Solanki T., de Boissieu F., Chave J., Nouvellon Y., Porcar-Castell A., Proisy C., Soudani K., Gastellu-Etchegorry J.-P., Lefèvre-Fonollosa M.-J.
Remote Sensing of Environment. 2019 231 p.110959
Rapid Prediction of Leaf Water Content in Eucalypt Leaves Using a Handheld NIRS Instrument
Johnson Joel B.
Eng. 2023 4(2). p.1198
Towards practical semi-empirical models for the estimation of leaf and canopy water contents from hyperspectral reflectance
Li Dong, Yu Weiguo, Zheng Hengbiao, Guo Caili, Yao Xia, Zhu Yan, Cao Weixing, Cheng Tao
Computers and Electronics in Agriculture. 2023 214 p.108309
Continuous Fields From Imaging Spectrometer Data for Ecosystem Parameter Mapping and Their Potential for Animal Habitat Assessment in Alpine Regions
Kneubuhler Mathias, Damm Alexander, Schweiger Anna-Katharina, Risch Anita C., Schutz Martin, Schaepman Michael E.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014 7(6). p.2600
Interactive effects of multiple climate change variables on food web dynamics: Modeling the effects of changing temperature, CO2, and water availability on a tri-trophic food web
Rosenblatt Adam E., Smith-Ramesh Lauren M., Schmitz Oswald J.
Food Webs. 2017 13 p.98
Field identification of drought tolerant wheat genotypes using canopy vegetation indices instead of plant physiological and biochemical traits
Wen Pengfei, Meng Yu, Gao Chenkai, Guan Xiaokang, Wang TongChao, Feng Wei
Ecological Indicators. 2023 154 p.110781
Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability
Holzman Mauro, Rivas Raúl, Bayala Martín
Remote Sensing. 2021 13(17). p.3371
Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
Adam Elhadi, Mutanga Onisimo, Rugege Denis
Wetlands Ecology and Management. 2010 18(3). p.281
Mapping fuel moisture content in upland vegetation using airborne hyperspectral imagery
Al-Moustafa Turkia, Armitage Richard P., Danson F. Mark
Remote Sensing of Environment. 2012 127 p.74
Creating a panoramic field image using multi-spectral stereovision system
Kise M., Zhang Q.
Computers and Electronics in Agriculture. 2008 60(1). p.67
Advances in estimation methods of vegetation water content based on optical remote sensing techniques
Zhang JiaHua, Xu Yun, Yao FengMei, Wang PeiJuan, Guo WenJuan, Li Li, Yang LiMin
Science China Technological Sciences. 2010 53(5). p.1159
Using near infrared measurement of water content as a cue for detecting biological materials
McGunnigle Gerald
Applied Optics. 2012 51(25). p.6095
Drought-related leaf functional traits control spatial and temporal dynamics of live fuel moisture content
Nolan Rachael H., Foster Benjamin, Griebel Anne, Choat Brendan, Medlyn Belinda E., Yebra Marta, Younes Nicolás, Boer Matthias M.
Agricultural and Forest Meteorology. 2022 319 p.108941
Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates
El-Hendawy Salah E., Al-Suhaibani Nasser A., Elsayed Salah, Hassan Wael M., Dewir Yaser Hassan, Refay Yahya, Abdella Kamel A.
Agricultural Water Management. 2019 217 p.356
Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent
Pickett-Heaps Christopher A., Canadell Josep G., Briggs Peter R., Gobron Nadine, Haverd Vanessa, Paget Matt J., Pinty Bernard, Raupach Michael R.
Remote Sensing of Environment. 2014 140 p.241
Method for national mapping spatial extent of southern beech forest using temporal spectral signatures
Schindler Jan, Dymond John R., Wiser Susan K., Shepherd James D.
International Journal of Applied Earth Observation and Geoinformation. 2021 102 p.102408
Microelectronics, Electromagnetics and Telecommunications (2019)
Surase Rupali R., Kale Karbhari V., Varpe Amrsinh B., Vibhute Amol D., Gite Hanumant R., Solankar Mahesh M., Gaikwad Sandeep, Nalawade Dhananjay B.
Inter-Seasonal Estimation of Grass Water Content Indicators Using Multisource Remotely Sensed Data Metrics and the Cloud-Computing Google Earth Engine Platform
Masenyama Anita, Mutanga Onisimo, Dube Timothy, Sibanda Mbulisi, Odebiri Omosalewa, Mabhaudhi Tafadzwanashe
Applied Sciences. 2023 13(5). p.3117
Hyperspectral Surface Reflectance Data Detect Low Moisture Status of Pecan Orchards during Flood Irrigation
Othman Yahia, Steele Caiti, VanLeeuwen Dawn, St. Hilaire Rolston
Journal of the American Society for Horticultural Science. 2015 140(5). p.449
Time-Series of Vegetation Indices (VNIR/SWIR) Derived from Sentinel-2 (A/B) to Assess Turgor Pressure in Kiwifruit
Jopia Alberto, Zambrano Francisco, Pérez-Martínez Waldo, Vidal-Páez Paulina, Molina Julio, de la Hoz Mardones Felipe
ISPRS International Journal of Geo-Information. 2020 9(11). p.641
Reasoning of the possibilities of using spectrometric data obtained from UAVs and the Sentinel-2 satellite to solve oil and gas exploration problems on land
Golubov Stanislav
Ukrainian journal of remote sensing. 2023 10(1). p.29
Forestry applications of UAVs in Europe: a review
Torresan Chiara, Berton Andrea, Carotenuto Federico, Di Gennaro Salvatore Filippo, Gioli Beniamino, Matese Alessandro, Miglietta Franco, Vagnoli Carolina, Zaldei Alessandro, Wallace Luke
International Journal of Remote Sensing. 2017 38(8-10). p.2427
Non‑invasive leaf hydration status determination through convolutional neural networks based on multispectral images in chrysanthemum
Fanourakis Dimitrios, Papadakis Vassilis M., Machado Marlene, Psyllakis Evangelos, Nektarios Panayiotis A.
Plant Growth Regulation. 2024 102(3). p.485
Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents
Zang Ziyi, Wang Jie, Cui Hong-Liang, Yan Shihan
Plant Methods. 2019 15(1).
Detection of Emerging Stress in Trees Using Hyperspectral Indices as Classification Features
Moley Laura M., Goodin Douglas G., Winslow William P.
Environments. 2024 11(4). p.85
Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism
Dechant Benjamin, Cuntz Matthias, Vohland Michael, Schulz Elke, Doktor Daniel
Remote Sensing of Environment. 2017 196 p.279
Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index
Pasqualotto Nieves, Delegido Jesús, Van Wittenberghe Shari, Verrelst Jochem, Rivera Juan Pablo, Moreno José
International Journal of Applied Earth Observation and Geoinformation. 2018 67 p.69
Spatial Modeling in Forest Resources Management (2021)
Kayet Narayan
Leaf Optical Properties (2019)
Jacquemoud Stéphane, Ustin Susan
Seasonal variation in grass water content estimated from proximal sensing and MODIS time series in a Mediterranean Fluxnet site
Mendiguren G., Pilar Martín M., Nieto H., Pacheco-Labrador J., Jurdao S.
Biogeosciences. 2015 12(18). p.5523
Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis
Cheng Tao, Rivard Benoit, Sánchez-Azofeifa Arturo G., Féret Jean-Baptiste, Jacquemoud Stephane, Ustin Susan L.
Journal of Plant Physiology. 2012 169(12). p.1134
Estimation of Merchantable Volume of Eucalyptus Clones Based on Leaf-Level Hyperspectral Data
Mzinyane Thamsanqa D., van Aardt Jan, Ahmed Fethi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015 8(6). p.3095
Temporal dynamics of shearing force of rice stem
Zhou Daowei, Chen Jing, She Jikai, Tong Jin, Chen Yuxiang
Biomass and Bioenergy. 2012 47 p.109
Assessing 100 biophysical indices performances in the Mediterranean basin using multi-satellite data
Ezzaher F-E., Ben Achhab N., Naciri H., Sobrino J. A., Raissouni N.
International Journal of Remote Sensing. 2023  p.1
Scale Issues in Remote Sensing (2014)
He Yuhong
Effects of Mycosphaerella leaf disease on the spectral reflectance properties of juvenile Eucalyptus globulus foliage
Pietrzykowski E., Stone C., Pinkard E., Mohammed C.
Forest Pathology. 2006 36(5). p.334
Upscaling from leaf to canopy: Improved spectral indices for leaf biochemical traits estimation by minimizing the difference between leaf adaxial and abaxial surfaces
Wan Liang, Tang Zheng, Zhang Jiafei, Chen Shuobo, Zhou Weijun, Cen Haiyan
Field Crops Research. 2021 274 p.108330
Rice growth state estimation by hyperspectral manifold learning
2012 IEEE International Geoscience and Remote Sensing Symposium (2012)
Uto Kuniaki, Harano Takahiro, Kosugi Yukio
Fusing Sentinel-1 and -2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco
Kacic Patrick, Hirner Andreas, Da Ponte Emmanuel
Remote Sensing. 2021 13(24). p.5105
Evaluation of three proposed indices for the retrieval of leaf water content from the mid-wave infrared (2–6μm) spectra
Ullah Saleem, Skidmore Andrew K., Groen Thomas A., Schlerf Martin
Agricultural and Forest Meteorology. 2013 171-172 p.65
The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation – Leaf water content as a proxy
Junttila S., Holopainen M., Vastaranta M., Lyytikäinen-Saarenmaa P., Kaartinen H., Hyyppä J., Hyyppä H.
Remote Sensing of Environment. 2019 231 p.111264
Use of infrared thermography and hyperspectral data to detect effects of water stress on pepper
Camoglu Gokhan, Demirel Kursad, Genc Levent
Quantitative InfraRed Thermography Journal. 2018 15(1). p.81
Feasibility of estimating leaf water content using spectral indices from WorldView-3’s near-infrared and shortwave infrared bands
Hunt E. Raymond, Daughtry Craig S. T., Li Li
International Journal of Remote Sensing. 2016 37(2). p.388
Modelling and quantifying the spatial distribution of post-wildfire ash loads
Chafer Chris J., Santín Cristina, Doerr Stefan H.
International Journal of Wildland Fire. 2016 25(2). p.249
Application of Near-Infrared Reflectance Spectroscopy for Predicting Damage Severity in a Diverse Panel of Tectona grandis Caused by Ceratocystis fimbriata
Anjos Isabela Vera dos, Ali Mohsin, Mora-Poblete Freddy, Araujo Kelly Lana, Gilio Thiago Alexandre Santana, Neves Leonarda Grillo
Plants. 2023 12(14). p.2734
High-precision hyperspectral laser scanning for improved radiometric correction of backscatter intensity
Ray Pabitro, Medić Tomislav, Salido-Monzú David, Wieser Andreas
Optical Engineering. 2024 63(05).
Characterizing Changes in Soybean Spectral Response Curves with Breeding Advancements
Christenson Brent S., Schapaugh William T., An Nan, Price Kevin P., Fritz Allan K.
Crop Science. 2014 54(4). p.1585
Estimating Vertical Distribution of Leaf Water Content within Wheat Canopies after Head Emergence
Kong Weiping, Huang Wenjiang, Ma Lingling, Tang Lingli, Li Chuanrong, Zhou Xianfeng, Casa Raffaele
Remote Sensing. 2021 13(20). p.4125
Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level
Bowyer P., Danson F.M.
Remote Sensing of Environment. 2004 92(3). p.297
Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating
Chuvieco Emilio, Cocero David, Riaño David, Martin Pilar, Martı́nez-Vega Javier, de la Riva Juan, Pérez Fernando
Remote Sensing of Environment. 2004 92(3). p.322
Differentiation of selected Australian woodland species using CASI data
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) (2001)
Paterson M., Lucas R.M., Chisholm L.
Retrieval of leaf water content from remotely sensed data using a vegetation index model constructed with shortwave infrared reflectances
Zhang Ziyang, Tang Bo-Hui, Li Zhao-Liang
International Journal of Remote Sensing. 2019 40(5-6). p.2313
R3 in Geomatics: Research, Results and Review (2020)
Belfiore Oscar Rosario, Aguilar Manuel Angel, Parente Claudio
Leaf and canopy water content estimation in cotton using hyperspectral indices and radiative transfer models
Yi Qiuxiang, Wang Fumin, Bao Anming, Jiapaer Guli
International Journal of Applied Earth Observation and Geoinformation. 2014 33 p.67
Crop classification using spectral indices derived from Sentinel-2A imagery
Kobayashi Nobuyuki, Tani Hiroshi, Wang Xiufeng, Sonobe Rei
Journal of Information and Telecommunication. 2020 4(1). p.67
Leaf morpho-physiology and phytochemistry of olive trees as affected by cultivar type and increasing aridity
Touati Said, Ayadi Jawaher, Bouajila Abdelhakim, Acila Smail, Rahmani Rami, Bouajila Jalloul, Debouba Mohamed
Journal of Arid Land. 2022 14(10). p.1159
Predicting Soybean Relative Maturity and Seed Yield Using Canopy Reflectance
Christenson Brent S., Schapaugh William T., An Nan, Price Kevin P., Prasad Vara, Fritz Allan K.
Crop Science. 2016 56(2). p.625
Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data
Wocher Matthias, Berger Katja, Danner Martin, Mauser Wolfram, Hank Tobias
Remote Sensing. 2018 10(12). p.1924
Foliar Moisture Content from the Spectral Signature for Wildfire Risk Assessments in Valparaíso-Chile
Villacrés Juan, Arevalo-Ramirez Tito, Fuentes Andrés, Reszka Pedro, Auat Cheein Fernando
Sensors. 2019 19(24). p.5475
The potential of remote sensing technology for the detection and mapping ofThaumastocoris peregrinusin plantation forests
Oumar Z, Mutanga O
Southern Forests: a Journal of Forest Science. 2011 73(1). p.23
Specific leaf area estimation from leaf and canopy reflectance through optimization and validation of vegetation indices
Ali Abebe Mohammed, Darvishzadeh Roshanak, Skidmore Andrew K., van Duren Iris
Agricultural and Forest Meteorology. 2017 236 p.162
Estimating live fuel moisture content from remotely sensed reflectance
Danson F.M., Bowyer P.
Remote Sensing of Environment. 2004 92(3). p.309
Spectroscopic analysis of seasonal changes in live fuel moisture content and leaf dry mass
Qi Yi, Dennison Philip E., Jolly W. Matt, Kropp Rachael C., Brewer Simon C.
Remote Sensing of Environment. 2014 150 p.198
Long-term effects of water stress on hyperspectral remote sensing indicators in young radiata pine
Watt Michael S., Leonardo Ellen Mae C., Estarija Honey Jane C., Massam Peter, de Silva Dilshan, O'Neill Renelle, Lane David, McDougal Rebecca, Buddenbaum Henning, Zarco-Tejada Pablo J.
Forest Ecology and Management. 2021 502 p.119707
Estimating Wheat Equivalent Water Thickness Using Landsat TM/ETM+ Data
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium (2008)
Ghulam Abduwasit, Kusky Tim, Qin Qiming, Li Zhao-Liang, Kasimu Alimujiang
Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content
Liu Liangyun, Zhang Su, Zhang Bing
International Journal of Remote Sensing. 2016 37(14). p.3384
Sentinel-2 Poplar Index for Operational Mapping of Poplar Plantations over Large Areas
Hamrouni Yousra, Paillassa Eric, Chéret Véronique, Monteil Claude, Sheeren David
Remote Sensing. 2022 14(16). p.3975
Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing
Krishna Gopal, Sahoo Rabi N., Singh Prafull, Bajpai Vaishangi, Patra Himesh, Kumar Sudhir, Dandapani Raju, Gupta Vinod K., Viswanathan C., Ahmad Tauqueer, Sahoo Prachi M.
Agricultural Water Management. 2019 213 p.231
Quantitative Analysis of Atrazine Impact on UAV-Derived Multispectral Indices and Correlated Plant Pigment Alterations: A Heatmap Approach
Boonupara Thirasant, Udomkun Patchimaporn, Kajitvichyanukul Puangrat
Agronomy. 2024 14(4). p.814
973 nm wavelength stabilized hybrid ns-MOPA diode laser system with 15.5 W peak power and a spectral line width below 10 pm
Semiconductor Lasers and Laser Dynamics VI (2014)
Panajotov Krassimir, Sciamanna Marc, Valle Angel, Michalzik Rainer, Vu Thi N., Klehr Andreas, Sumpf Bernd, Wenzel Hans, Erbert Götz, Tränkle Günther
On-line monitoring of plant water status: Validation of a novel sensor based on photon attenuation of radiation through the leaf
Cecilia Brunetti, Francesca Alderotti, Dalila Pasquini, Carlo Stella, Antonella Gori, Francesco Ferrini, Marco Righele, Mauro Centritto
Science of The Total Environment. 2022 817 p.152881
Agricultural drought assessment using vegetation indices derived from MODIS time series in Tehran Province
Hashemzadeh Ghalhari Mohammadjavad, Vafakhah Mehdi, Damavandi Ali Akbar
Arabian Journal of Geosciences. 2022 15(5).
Non-invasive measurement of leaf water content and pressure–volume curves using terahertz radiation
Li Ran, Lu Yaojie, Peters Jennifer M. R., Choat Brendan, Lee Andrew J.
Scientific Reports. 2020 10(1).
Developing pedotransfer functions using Sentinel-2 satellite spectral indices and Machine learning for estimating the surface soil moisture
Sedaghat Azadeh, Shahrestani Mahmoud Shabanpour, Noroozi Ali Akbar, Fallah Nosratabad Alireza, Bayat Hossein
Journal of Hydrology. 2022 606 p.127423
Evaluating metrics derived from Landsat 8 OLI imagery to map crop cover
Sonobe Rei, Yamaya Yuki, Tani Hiroshi, Wang Xiufeng, Kobayashi Nobuyuki, Mochizuki Kan-ichiro
Geocarto International. 2019 34(8). p.839
A multi-angular invariant spectral index for the estimation of leaf water content across a wide range of plant species in different growth stages
Li Xiao, Sun Zhongqiu, Lu Shan, Omasa Kenji
Remote Sensing of Environment. 2021 253 p.112230
Determination of foliar traits in an ecologically distinct conifer species in Maine using Sentinel-2 imagery and site variables: Assessing the effect of leaf trait expression and upscaling approach on prediction accuracy
Gara Tawanda W., Rahimzadeh-Bajgiran Parinaz, Weiskittel Aaron
ISPRS Journal of Photogrammetry and Remote Sensing. 2022 193 p.150
Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery
Moharana Shreedevi, Dutta Subashisa
ISPRS Journal of Photogrammetry and Remote Sensing. 2016 122 p.17
Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models
Morcillo-Pallarés Pablo, Rivera-Caicedo Juan Pablo, Belda Santiago, De Grave Charlotte, Burriel Helena, Moreno Jose, Verrelst Jochem
Remote Sensing. 2019 11(20). p.2418
Deriving vegetation leaf water content from spectrophotometric data with orthogonal signal correction-partial least square regression
Zhang Jie, Wu Jianjun, Zhou Lei
International Journal of Remote Sensing. 2011 32(22). p.7557
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform
Seydi Seyd Teymoor, Akhoondzadeh Mehdi, Amani Meisam, Mahdavi Sahel
Remote Sensing. 2021 13(2). p.220
Assessment of Water Status in Wheat (Triticum aestivum L.) Using Ground Based Hyperspectral Reflectance
Ranjan Rajeev, Sahoo R. N., Chopra U. K., Pramanik Monalisha, Singh A. K., Pradhan S.
Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. 2017 87(2). p.377
Estimation of Biochemical Pigment Content in Poplar Leaves Using Proximal Multispectral Imaging and Regression Modeling Combined with Feature Selection
Zhang Changsai, Xue Yong
Sensors. 2023 24(1). p.217
Terahertz spectroscopy for quantification of free water and bound water in leaf
Zang Ziyi, Li Zaoxia, Lu Xingxing, Liang Jie, Wang Jie, Cui Hong-Liang, Yan Shihan
Computers and Electronics in Agriculture. 2021 191 p.106515
Estimating canopy water content from spectroscopy
Ustin Susan L., Riaño David, Hunt E. Raymond
Israel Journal of Plant Sciences. 2012 60(1). p.9
An accurate retrieval of leaf water content from mid to thermal infrared spectra using continuous wavelet analysis
Ullah Saleem, Skidmore Andrew K., Naeem Mohammad, Schlerf Martin
Science of The Total Environment. 2012 437 p.145
A Review of Leaf-Level Flammability Traits in Eucalypt Trees
Younes Nicolas, Yebra Marta, Boer Matthias M., Griebel Anne, Nolan Rachael H.
Fire. 2024 7(6). p.183
Regional Equivalent Water Thickness Modeling from Remote Sensing across a Tree Cover/LAI Gradient in Mediterranean Forests of Northern Tunisia
Chakroun Hedia, Mouillot Florent, Hamdi Abdelaziz
Remote Sensing. 2015 7(2). p.1937
Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress
Xu Zhanghua, Li Bin, Yu Hui, Zhang Huafeng, Guo Xiaoyu, Li Zenglu, Wang Lin, Liu Zhicai, Li Yifan, He Anqi, Huang Xuying
Forests. 2023 14(4). p.702
Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review
Katsoulas Nikolaos, Elvanidi Angeliki, Ferentinos Konstantinos P., Kacira Murat, Bartzanas Thomas, Kittas Constantinos
Biosystems Engineering. 2016 151 p.374
Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level
Riano D., Vaughan P., Chuvieco E., Zarco-Tejada P.J., Ustin S.L.
IEEE Transactions on Geoscience and Remote Sensing. 2005 43(4). p.819
Monitoring the Vertical Distribution of Maize Canopy Chlorophyll Content Based on Multi-Angular Spectral Data
Wu Bin, Ye Huichun, Huang Wenjiang, Wang Hongye, Luo Peilei, Ren Yu, Kong Weiping
Remote Sensing. 2021 13(5). p.987
Estimation of leaf water content from far infrared (2.5–14 µm) spectra using continuous wavelet analysis
2012 IEEE International Geoscience and Remote Sensing Symposium (2012)
Ullah Saleem, Skidmore Andrew K., Naeem Mohammad, Schlerf Martin
Inversion of winter wheat leaf area index from UAV multispectral images: classical vs. deep learning approaches
Zu Jiaxing, Yang Hailong, Wang Jiali, Cai Wenhua, Yang Yuanzheng
Frontiers in Plant Science. 2024 15
Leaf water content estimation by functional linear regression of field spectroscopy data
Rodríguez-Pérez José R., Ordóñez Celestino, González-Fernández Ana B., Sanz-Ablanedo Enoc, Valenciano José B., Marcelo Victoriano
Biosystems Engineering. 2018 165 p.36
Assessing the sensitivity of MODIS to monitor drought in high biomass ecosystems
Caccamo G., Chisholm L.A., Bradstock R.A., Puotinen M.L.
Remote Sensing of Environment. 2011 115(10). p.2626
Sentinel-2 time series based optimal features and time window for mapping invasive Australian native Acacia species in KwaZulu Natal, South Africa
Masemola Cecilia, Cho Moses Azong, Ramoelo Abel
International Journal of Applied Earth Observation and Geoinformation. 2020 93 p.102207

Committee on Publication Ethics


Abstract Export Citation Get Permission