Monitoring leaf area index at watershed level through NDVI from Landsat-7/ETM+ data
نویسندگان
چکیده
منابع مشابه
Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)
a King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Kingdom of Saudi Arabia b European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy c USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA d Center for Advanced Land Management Information Technology (CALMIT), School of Natural Resources, Unive...
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The aim of this paper is to investigate the feasibility of using Landsat ETM+ data for the determination of leaf area index (LAI). The investigation is prompted by the need for obtaining spatially distributed data on LAI to be used as input for carbon modelling of northern boreal forests. Detailed field data have been collected in a coniferous forest area in Uppland, central Sweden, dominated b...
متن کاملLeaf Area Index Retrieved from Thermal Hyperspectral Data
Leaf area index (LAI) is an important essential biodiversity variable due to its role in many terrestrial ecosystem processes such as evapotranspiration, energy balance, and gas exchanges as well as plant growth potential. A novel approach presented here is the retrieval of LAI using thermal infrared (8–14 μm, TIR) measurements. Here, we evaluate LAI retrieval using TIR hyperspectral data. Cano...
متن کاملGenerating global Leaf Area Index from Landsat: Algorithm formulation and demonstration
a Bay Area Environmental Research Institute (BAERI)/NASA Ames Research Center, Moffett Field, CA 94035, USA b Biospheric Science Branch, NASA Ames Research Center, Moffett Field, CA 94035, USA c Department of Watershed Science, Utah State University, UT 84322, USA d Department of Science and Environmental Policy, California State University at Monterey Bay/NASA Ames Research Center, Moffett Fie...
متن کاملLeaf area index measurements
Leaf area index (LAI) is a key structural characteristic of forest ecosystems because of the role of green leaves in controlling many biological and physical processes in plant canopies. Accurate LA1 estimates are required in studies of ecophysiology, atmosphere-ecosystem interactions, and global change. The objective of this paper is to evaluate LA1 values obtained by several research teams us...
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ژورنال
عنوان ژورنال: Scientia Agricola
سال: 2004
ISSN: 0103-9016
DOI: 10.1590/s0103-90162004000300001