Articles | Volume 12, issue 1
https://doi.org/10.5194/bg-12-49-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-49-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Jan 2015
Research article |
| 06 Jan 2015
A novel reflectance-based model for evaluating chlorophyll concentrations of fresh and water-stressed leaves
Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan
S. C. Popescu
Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas, USA
S. C. Huang
Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan
P. T. Chang
Department of Horticultural Science, National Chiayi University, Chiayi, Taiwan
H. L. Wen
Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan
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37 citations as recorded by crossref.
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- A Generalized Logistic-Gaussian-Complex Signal Model for the Restoration of Canopy SWIR Hyperspectral Reflectance C. Lin https://doi.org/10.3390/rs10071062
- Weighted Background Suppression Target Detection Using Sparse Image Enhancement Technique for Newly Grown Tree Leaves S. Chen et al. https://doi.org/10.3390/rs11091081
- Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal Data for Estimation Purposes P. Marques et al. https://doi.org/10.3390/rs15194777
- Drought tolerance index of selected local varieties in maize: an integration of agrohistological, proline content, and yield under field capacity N. Mustamu et al. https://doi.org/10.1007/s44447-025-00010-1
- Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model K. Liu et al. https://doi.org/10.3389/fpls.2022.855660
- Polystyrene microplastic contamination versus microplankton abundances in two lagoons of the Florida Keys S. Badylak et al. https://doi.org/10.1038/s41598-021-85388-y
- Multispectral, Thermographic and Spectroradiometric Analyses Unravel Bio-Stimulatory Effects of Wood Distillate in Field-Grown Chickpea (Cicer arietinum L.) P. Carril et al. https://doi.org/10.3390/rs16142524
- Effect of chlorophyll concentration on the spectral signature of the microalgae Chlorella vulgaris and Raphidocelis subcapitata G. Melo-Santos et al. https://doi.org/10.1590/2318-0331.292420240008
- Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions S. El-Hendawy et al. https://doi.org/10.3390/plants10010101
- The quality of air at petroleum refining area in Bojonegoro, Indonesia: Morphological condition and chlorophyll level changes of Muntingia calabura L. D. Kusumastuty et al. https://doi.org/10.1088/1755-1315/276/1/012029
- Diagnosing pristine pine forest development through pansharpened-surface-reflectance Landsat image derived aboveground biomass productivity N. Doyog et al. https://doi.org/10.1016/j.foreco.2021.119011
- Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images C. Lin et al. https://doi.org/10.1371/journal.pone.0125554
- Impact of treated wastewater on plant growth: leaf fluorescence, reflectance, and biomass-based assessment S. Ofori et al. https://doi.org/10.2166/wst.2024.097
- Molecular markers and GGE biplot analysis for selecting higher‐yield and drought‐tolerant maize hybrids S. Sedhom et al. https://doi.org/10.1002/agj2.20778
- The potential of hyperspectral images and partial least square regression for predicting total carbon, total nitrogen and their isotope composition in forest litterfall samples I. Tahmasbian et al. https://doi.org/10.1007/s11368-017-1751-z
- Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.) S. Shah et al. https://doi.org/10.3390/agronomy7030061
- Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat G. Peteinatos et al. https://doi.org/10.3390/agriculture6020024
- Exploring changes of land use and mangrove distribution in the economic area of Sidoarjo District, East Java using multi-temporal Landsat images N. Maryantika & C. Lin https://doi.org/10.1016/j.inpa.2017.06.003
- Evaluation of glycyrrhizin contents in licorice (Glycyrrhiza glabra L.) under drought and soil salinity conditions using nutrient concentrations and biochemical traits as biomarkers M. Hosseini et al. https://doi.org/10.1007/s11738-020-03090-4
- Challenges of Retrieving LULC Information in Rural-Forest Mosaic Landscapes Using Random Forest Technique C. Lin & N. Doyog https://doi.org/10.3390/f14040816
- Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves S. Chen et al. https://doi.org/10.3390/s21062077
- Leaflet phenotypic plasticity in three woody species in two strata of a gallery forest J. Santos et al. https://doi.org/10.1590/01047760202127012645
- Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method L. Lin et al. https://doi.org/10.3390/s150817990
- SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics D. Xiong et al. https://doi.org/10.1038/srep13389
- Hyperspectral imaging system to on-line monitoring the soy flour content in a functional pasta R. Romaniello et al. https://doi.org/10.4081/jae.2023.1535
- Presymptomatic Leaf Reflectance of Fusarium virguliforme-Infected Soybean Plants in Greenhouse Conditions M. Brown et al. https://doi.org/10.1094/PHYTOFR-09-23-0121-R
- Responses of radish (Raphanus sativus) to drought stress F. Stagnari et al. https://doi.org/10.1111/aab.12409
- Estimating biochemical parameters of paddy using satellite and near-proximal sensor data in Sahibganj Province, Jharkhand (India) A. Ranjan & B. Parida https://doi.org/10.1016/j.rsase.2020.100293
- Applying a support vector model to assess land cover changes in the Uvs Lake Basin ecoregion in Mongolia B. Jamsran et al. https://doi.org/10.1016/j.inpa.2018.07.007
- Evaluation of the Amount of Nitrogen Top Dressing Based on Ground-based Remote Sensing for Leaf Perilla (Perilla frutescens) under the Polytunnel House S. Kang et al. https://doi.org/10.7745/KJSSF.2016.49.5.598
- Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques C. Lin et al. https://doi.org/10.1016/j.isprsjprs.2018.05.022
- Structural inflexibility of the rhizosphere microbiome in mangrove plant Kandelia obovata under elevated CO2 P. Yin et al. https://doi.org/10.1016/j.marenvres.2018.07.013
- Hyperspectral reflectance sensing to assess the growth and photosynthetic properties of wheat cultivars exposed to different irrigation rates in an irrigated arid region S. El-Hendawy et al. https://doi.org/10.1371/journal.pone.0183262
- Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions S. El-Hendawy et al. https://doi.org/10.3390/plants11030456
- Mapping and modeling mangrove biophysical and biochemical parameters using Sentinel-2A satellite data in Bhitarkanika National Park, Odisha B. Parida & A. Kumari https://doi.org/10.1007/s40808-020-01005-3
- Mapping tea plantations dynamics during 2000–2020 and monitoring biophysical attributes using multi-temporal satellite data in North Bengal (India) B. Parida & A. Kumari https://doi.org/10.1007/s12517-021-08468-3
37 citations as recorded by crossref.
- 3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification C. Lin et al. https://doi.org/10.1109/JSTARS.2025.3573328
- A Generalized Logistic-Gaussian-Complex Signal Model for the Restoration of Canopy SWIR Hyperspectral Reflectance C. Lin https://doi.org/10.3390/rs10071062
- Weighted Background Suppression Target Detection Using Sparse Image Enhancement Technique for Newly Grown Tree Leaves S. Chen et al. https://doi.org/10.3390/rs11091081
- Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal Data for Estimation Purposes P. Marques et al. https://doi.org/10.3390/rs15194777
- Drought tolerance index of selected local varieties in maize: an integration of agrohistological, proline content, and yield under field capacity N. Mustamu et al. https://doi.org/10.1007/s44447-025-00010-1
- Plant Species Classification Based on Hyperspectral Imaging via a Lightweight Convolutional Neural Network Model K. Liu et al. https://doi.org/10.3389/fpls.2022.855660
- Polystyrene microplastic contamination versus microplankton abundances in two lagoons of the Florida Keys S. Badylak et al. https://doi.org/10.1038/s41598-021-85388-y
- Multispectral, Thermographic and Spectroradiometric Analyses Unravel Bio-Stimulatory Effects of Wood Distillate in Field-Grown Chickpea (Cicer arietinum L.) P. Carril et al. https://doi.org/10.3390/rs16142524
- Effect of chlorophyll concentration on the spectral signature of the microalgae Chlorella vulgaris and Raphidocelis subcapitata G. Melo-Santos et al. https://doi.org/10.1590/2318-0331.292420240008
- Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions S. El-Hendawy et al. https://doi.org/10.3390/plants10010101
- The quality of air at petroleum refining area in Bojonegoro, Indonesia: Morphological condition and chlorophyll level changes of Muntingia calabura L. D. Kusumastuty et al. https://doi.org/10.1088/1755-1315/276/1/012029
- Diagnosing pristine pine forest development through pansharpened-surface-reflectance Landsat image derived aboveground biomass productivity N. Doyog et al. https://doi.org/10.1016/j.foreco.2021.119011
- Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images C. Lin et al. https://doi.org/10.1371/journal.pone.0125554
- Impact of treated wastewater on plant growth: leaf fluorescence, reflectance, and biomass-based assessment S. Ofori et al. https://doi.org/10.2166/wst.2024.097
- Molecular markers and GGE biplot analysis for selecting higher‐yield and drought‐tolerant maize hybrids S. Sedhom et al. https://doi.org/10.1002/agj2.20778
- The potential of hyperspectral images and partial least square regression for predicting total carbon, total nitrogen and their isotope composition in forest litterfall samples I. Tahmasbian et al. https://doi.org/10.1007/s11368-017-1751-z
- Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.) S. Shah et al. https://doi.org/10.3390/agronomy7030061
- Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat G. Peteinatos et al. https://doi.org/10.3390/agriculture6020024
- Exploring changes of land use and mangrove distribution in the economic area of Sidoarjo District, East Java using multi-temporal Landsat images N. Maryantika & C. Lin https://doi.org/10.1016/j.inpa.2017.06.003
- Evaluation of glycyrrhizin contents in licorice (Glycyrrhiza glabra L.) under drought and soil salinity conditions using nutrient concentrations and biochemical traits as biomarkers M. Hosseini et al. https://doi.org/10.1007/s11738-020-03090-4
- Challenges of Retrieving LULC Information in Rural-Forest Mosaic Landscapes Using Random Forest Technique C. Lin & N. Doyog https://doi.org/10.3390/f14040816
- Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves S. Chen et al. https://doi.org/10.3390/s21062077
- Leaflet phenotypic plasticity in three woody species in two strata of a gallery forest J. Santos et al. https://doi.org/10.1590/01047760202127012645
- Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method L. Lin et al. https://doi.org/10.3390/s150817990
- SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics D. Xiong et al. https://doi.org/10.1038/srep13389
- Hyperspectral imaging system to on-line monitoring the soy flour content in a functional pasta R. Romaniello et al. https://doi.org/10.4081/jae.2023.1535
- Presymptomatic Leaf Reflectance of Fusarium virguliforme-Infected Soybean Plants in Greenhouse Conditions M. Brown et al. https://doi.org/10.1094/PHYTOFR-09-23-0121-R
- Responses of radish (Raphanus sativus) to drought stress F. Stagnari et al. https://doi.org/10.1111/aab.12409
- Estimating biochemical parameters of paddy using satellite and near-proximal sensor data in Sahibganj Province, Jharkhand (India) A. Ranjan & B. Parida https://doi.org/10.1016/j.rsase.2020.100293
- Applying a support vector model to assess land cover changes in the Uvs Lake Basin ecoregion in Mongolia B. Jamsran et al. https://doi.org/10.1016/j.inpa.2018.07.007
- Evaluation of the Amount of Nitrogen Top Dressing Based on Ground-based Remote Sensing for Leaf Perilla (Perilla frutescens) under the Polytunnel House S. Kang et al. https://doi.org/10.7745/KJSSF.2016.49.5.598
- Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques C. Lin et al. https://doi.org/10.1016/j.isprsjprs.2018.05.022
- Structural inflexibility of the rhizosphere microbiome in mangrove plant Kandelia obovata under elevated CO2 P. Yin et al. https://doi.org/10.1016/j.marenvres.2018.07.013
- Hyperspectral reflectance sensing to assess the growth and photosynthetic properties of wheat cultivars exposed to different irrigation rates in an irrigated arid region S. El-Hendawy et al. https://doi.org/10.1371/journal.pone.0183262
- Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions S. El-Hendawy et al. https://doi.org/10.3390/plants11030456
- Mapping and modeling mangrove biophysical and biochemical parameters using Sentinel-2A satellite data in Bhitarkanika National Park, Odisha B. Parida & A. Kumari https://doi.org/10.1007/s40808-020-01005-3
- Mapping tea plantations dynamics during 2000–2020 and monitoring biophysical attributes using multi-temporal satellite data in North Bengal (India) B. Parida & A. Kumari https://doi.org/10.1007/s12517-021-08468-3
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