Prediction of High-Quality MODIS-NPP Product Data

Defect Prediction Leads to High Quality Product

Defect prediction is relatively a new research area of software quality assurance. A project team always aims to produce a quality product with zero or few defects. Quality of a product is correlated with the number of defects as well as it is limited by time and by money. So, defect prediction is very important in the field of software quality and software reliability. This paper gives you a v...

Quality Assessment of S-NPP VIIRS Land Surface Temperature Product

The VIIRS Land Surface Temperature (LST) Environmental Data Record (EDR) has reached validated (V1 stage) maturity in December 2014. This study compares VIIRS v1 LST with the ground in situ observations and with heritage LST product from MODIS Aqua and AATSR. Comparisons against U.S. SURFRAD ground observations indicate a similar accuracy among VIIRS, MODIS and AATSR LST, in which VIIRS LST pre...

MODIS DAILY PHOTOSYNTHESIS (PSN) AND ANNUAL NET PRIMARY PRODUCTION (NPP) PRODUCT (MOD17) Algorithm Theoretical Basis Document

Mapping NPP for a Coniferous Forest in Southern Sweden using data from Terra/MODIS

Net primary production (NPP) is modeled for a coniferous forest in southern Sweden for 2001. The model is based on the light-use efficiency concept where NPP is calculated as a product of absorbed photosynthetically active radiation (APAR) and a lightuse efficiency factor (ε). APAR is estimated from the fraction of APAR (FAPAR) multiplied with the daily total amount of incoming PAR. FAPAR is ob...

An overview of MODIS Land data processing and product status

Data from the first Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the NASATerra Platform are being used to provide a new generation of land data products in support of the National Aeronautics and Space Administration (NASA)’s Earth Science Enterprise, global change research and natural resource management. The MODIS products include global data sets heretofore unavailable...