Fusing street level photographs and satellite remote sensing to map leaf area index
نویسندگان
چکیده
منابع مشابه
Stomatal Conductance, Canopy Temperature, and Leaf Area Index Estimation Using Remote Sensing and OBIA techniques
Remotely sensed images including LANDSAT, SPOT, NAIP orthoimagery, and LiDAR and relevant processing tools can be used to predict plant stomatal conductance (gs), leaf area index (LAI), and canopy temperature, vegetation density, albedo, and soil moisture using vegetation indices like normalized difference vegetation index (NDVI) or soil adjusted vegetation index (SAVI) developed with near infr...
متن کاملRemote Sensing of Mountain Birch Forest Biomass and Leaf Area Index Using ASTER Data
Suitability of ASTER satellite data for estimating biomass and LAI for mountain birch forests was investigated. The field data consisted of 124 plots surveyed in northernmost Finland in July 2004. The statistical relationships between the field measurements and ASTER reflectances were modelled using canonical correlation analysis (CCA) and reduced major axis (RMA) regression. The models were ap...
متن کاملRetrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors
The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable component of process-based ecological research facilitating the understanding of gas-vegetation exchange phenomenon at an array of spatial scales from the leaf to the landscape. However, LAI is difficult to directly acquire for large spatial extents due to its time consuming and work intensive nature. Such e...
متن کاملRemote Sensing of Leaf Area Index (LAI) and a Spatiotemporally Parameterized Model for Mixed Grasslands
Leaf area index (LAI) is an important biophysical variable used to reflect the vegetation condition in ecosystems. However, accurate estimation of LAI is highly dependent upon the spatiotemporal scales. Both direct (destructive sampling, litter fall collection and point contact sampling) and indirect methods (optical instruments) have been used to measure LAI in mixed grasslands. In particular,...
متن کاملValidation and intercomparison of global Leaf Area Index products derived from remote sensing data
[1] This study investigates the performances of four major global Leaf Area Index (LAI) products at 1/11.2! spatial sampling and a monthly time step: ECOCLIMAP climatology, GLOBCARBON (from SPOT/VEGETATION and ATSR/AATSR), CYCLOPES (from SPOT/VEGETATION) and MODIS Collection 4 (main algorithm, from MODIS/TERRA). These products were intercompared during the 2001–2003 period over the BELMANIP net...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ecological Indicators
سال: 2020
ISSN: 1470-160X
DOI: 10.1016/j.ecolind.2020.106342