Using split window algorithms developed by Sobrino, added a suff icient and simple cloud detection process for MODIS L1B data. Then based on land surface classif ication (land, water, snow & ice), retrieved four land surface temperature images for clear sky in Naqu area over Tibetan Plateau in January, April, June and October in 2007, respectively. After that the derived LST was compared with t...

0924-2716/$ see front matter 2012 International http://dx.doi.org/10.1016/j.isprsjprs.2012.07.003 ⇑ Corresponding author. Address: 3100 Monitor A Oklahoma, Norman, OK 73072, USA. Tel.: +1 405 325 E-mail address: [email protected] (S. Sheldon) In this study, we evaluate a methodology that uses dual-polarization L-band SAR 500-m mosaic PALSAR imagery to identify and map forests in the Brazilian...

According to the Intergovernmental Panel on Climate Change Good Practice Guidance (IPCC GPG) (IPCC 2003), remote sensing methods are especially suitable for independent verifying the national Land Use, Land-Use Change, and Forestry (LULUCF) carbon pool estimates, especially the aboveground biomass. In the present study, we demonstrate the potential to integrate standwise inventory data, ASTER a...

Understanding the role of landscape heterogeneity and its influence on the scaling behavior of surface fluxes as observed by satellite sensors with different spatial resolutions is a critical need to investigate. In this study, the effects of pixel scales on ETc estimation and other parameters that are used to calculate ETc were investigated over different vegetation surfaces in south central N...

ASTER has similar bandwidths and spatial resolution to Landsat and is an important component of the mid-resolution data archive. However, the limited duty cycle of ASTER and relatively small scene size has resulted in a “patchwork” archive of global imagery. The changes of solar geometries (BRDF) and phenology complicate land cover classification and change detection especially when comparing t...

Various classification methods have been applied for low resolution of the entire Earth's surface from recorded satellite images, but insufficient study has determined which method, for which satellite data, is economically viable for tropical forest land use mapping. This study employed Iterative Self Organizing Data Analysis Techniques (ISODATA) and K-Means classification techniques to classi...

Leaf area index (LAI) collected in a needle-leaf forest site near Ruokolahti, Finland, during a field campaign in June 14–21, 2000, was used to validate Moderate Resolution Imaging Spectroradiometer (MODIS) LAI algorithm. The field LAI data was first related to 30-m resolution Enhanced Thermal Mapper Plus (ETM+) images using empirical methods to create a high-resolution LAI map. The analysis of...

[1] At present, two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the NASA Terra and Aqua Spacecraft platforms are operational for global remote sensing of the land, ocean, and atmosphere. In this paper, we describe an algorithm for water vapor derivations using several MODIS near-IR channels. The derivations are made over areas that have reflective surfaces in the ...

the use of satellite data in an estimation of air temperature (ta) near the earth’s surface has turned into an effective way for a large area of high spatial and temporal resolution. throughout the present study, artificial neural network (ann) as well as m5 model tree were employed to estimate ta in khuzestan province (south west of iran), using satellite remotely sensed land surface temperatu...

For many parameters derived from satellite imagery, the accurate detection of clouds is essential. The determination of cloud or no cloud for each pixel is known as a cloud mask. Cloud masks are used to filter out cloudy pixels for clear-sky retrievals such as land and sea surface temperature and total precipitable water, and also to detect clouds for cloud parameter retrievals such as cloud ph...