Qiaozhen Mu

TL;DR: In this paper, the authors demonstrate the application of a multiple constraints model-data assimilation (MCMDA) scheme to the combination of AMSR-E soil moisture content (SMC) and MODIS land surface temperature (LST) in a coupled biophysical model for the tropical savannas of northern Australia, and discuss the difficulties and error sources encountered.

TL;DR: In this paper, the Normalized Difference Vegetation Index (NDVI) data retrieved using the Moderate Resolution Imaging Spectroradiometer (MODIS) was successfully used to identify the ecological relationships that involve soil moisture and evapotranspiration (ET) at 132 sites located on different continents around the world.

Abstract: This article present preliminary results from the NASA’s EOS MOD16 Project, which aims to estimate global evapotranspiration (ET) using remote sensing and meteorological data. The MOD16 algorithm considers both the surface energy partitioning process and environmental constraints on ET to provide critical information on the regional and global water cycle. The objective of this research is to evaluate the version 1 of the global remote sensing evapotranspiration algorithm (MOD16). We analyzed the accuracy of the algorithm using ET observations at two eddy covariance (EC) flux tower sites in different land uses and land covers (tropical rainforest (K34) and seasonal forest (RJA)), from the Large Scale Biosphere-Atmosphere in Amazonia Project (LBA). The result shows that 8-days average, monthly ET and yearly ET are in consistent with observations of eddy covariance flux tower sites when the land cover classification is correct. However misclassification of the land cover leads to the selection of wrong parameters for vapor pressure deficit (VPD) and minimum air temperature for stomatal conductance constraints, resulting in less accurate ET estimates. The existing biases between MOD16 ET and EC observations and hydrological models may be influenced by algorithm input data, such as LAI and land cover classification. Developing a robust algorithm to estimate global ET is a significant challenge because traditionally ET models require explicit characterization of numerous surface and atmospheric parameters which are difficult to determine globally. Palavras-chave: MODIS, MOD16; evapotranspiration, tropical biomes, energy fluxes; evapotranspiração, fluxos de energia, biomas tropicais. 1. Introdução A evapotranspiração (ET) representa os processos de passagem da água do estado líquido e/ou sólido para o estado de vapor d’água atmosférico. A ET inclui a evaporação de água de superfícies líquidas, como rios e lagos, e a transpiração das plantas através das folhas. Além de ser um importante componente do ciclo hidrológico, a ET desempenha um papel Anais XV Simpósio Brasileiro de Sensoriamento Remoto SBSR, Curitiba, PR, Brasil, 30 de abril a 05 de maio de 2011, INPE p.5124

TL;DR: In this article, NASA's C6.1 L1B data are utilized to assess the stability of the calibrated top of atmosphere reflectance retrieved from individual detectors within a spectral band over deep convective clouds (DCCs) and desert sites.

TL;DR: In this paper , the authors provide a temporal radiometric stability and calibration consistency assessment of the SNPP and NOAA20 VIIRS reflective solar bands using the latest NASA SIPS C2 L1B products.