ARTÍCULO
TITULO

Retrieval and Comparison of Forest Leaf Area Index Based on Remote Sensing Data from AVNIR-2, Landsat-5 TM, MODIS, and PALSAR Sensors

Wei Chen    
Hang Yin    
Kazuyuki Moriya    
Tetsuro Sakai and Chunxiang Cao    

Resumen

No disponible

 Artículos similares

       
 
Hongyan Zhang, Shudong Wang, Kai Liu, Xueke Li, Zhengqiang Li, Xiaoyuan Zhang and Bingxuan Liu    
Satellite retrieval can offer global soil moisture information, such as Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) data. AMSR-E has been used to provide soil moisture all over the world, with a coarse resolution of 25 km × 25 ... ver más

 
Saeid Gharechelou, Ryutaro Tateishi, Josaphat Tetuko Sri Sumantyo and Brian Alan Johnson    
Soil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synth... ver más

 
Marco Fisichella and Andrea Ceroni    
A majority of current work in events extraction assumes the static nature of relationships in constant expertise knowledge bases. However, in collaborative environments, such as Wikipedia, information and systems are extraordinarily dynamic over time. In... ver más

 
Ram L. Ray, Ali Fares, Yiping He, Marouane Temimi     Pág. 1 - 22
The main goal of this study was to evaluate four major remote sensing soil moisture (SM) products over the state of Texas. These remote sensing products are: (i) the Advanced Microwave Scanning Radiometer?Earth Observing System (AMSR-E) (2002?September 2... ver más
Revista: Water