1a.Objectives (from AD-416):
The overall objective for this project is to better quantify albedo changes associated with land cover change, vegetation disturbance, and recovery from disturbance by fusing Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF)/Albedo and Landsat directional reflectance observations. There are four separate objectives for this project. This project focuses on objective 1 to create a global lookup table of albedo values as well as BRDF parameters for typical land cover types, as a function of global ecoregion. The accumulated BRDF parameters for different crop types will be used to correct directional effects from wide-swath satellite data such as MODIS, Advanced Very High Resolution Radiometer (AVHRR) and Advanced Wide Field Sensor (AWiFS) observations.
1b.Approach (from AD-416):
ARS will provide global MODIS BRDF/albedo data and Landsat data, and existing computer programs for analysis. The Cooperator will use the 2000 and 2005 Global Land Survey (GLS) Landsat dataset to select “pure” homogeneous MODIS pixels globally. The pure MODIS samples will be used to compute mean per-class albedos and their variance. The BRDF/albedo results from these pure MODIS pixels will be assembled into a per-class Look-Up Table (LUT), and analyzed and applied to correct BRDF effects from wide-swath satellite data.
The goal of this project is to work with scientists from University of Maryland to build a global albedo look-up map (LUM) for climate and energy balance modeling in support of ARS effort to “Develop remote sensing and modeling approaches for monitoring the magnitude of agricultural drought and its subsequent impact on agricultural crop condition and yield” for the parent project 1265-13610-028-00D and the incoming NASA’s project 1265-13610-028-25R.
Progress from the University of Maryland this year include:. 1)building a snow-covered albedo LUM using Moderate Resolution Imaging Spectroradiometer (MODIS) Albedo product;. 2)cross-validated snow-free and snow-covered LUMs using Advanced Very High Resolution Radiometer (AVHRR) datasets (pre MODIS-era);. 3)started to build the soil albedo LUM for the conterminous U.S (ongoing); and. 4)began to generate a look-up table (LUT) of Bidirectional Reflectance Distribution Function (BRDF) for different crop types (ongoing).