Forest disturbances such as harvesting, wildfire and insect infestation are critical ecosystem processes affecting the carbon cycle. Because carbon dynamics are related to time since disturbance, forest stand age that can be used as a surrogate for major clear-cut/fire disturbance information has recently been recognized as an important input to forest carbon cyclemodels for improving predictio...

Various methods have been developed to minimise the consequences of natural disasters. GIS and Remote Sensing methods are very attractive, fast and reliable tools for various natural disaster applications and management. In this study, we investigated natural disasters such as flash-floods, floods, erosion and landslide risks, which have occurred, and are likely to do so again, in a study area ...

[1] Land surface temperature (LST) is involved in many land surface processes such as evapotranspiration, net radiation, or air temperature modeling. In this paper we present an improved methodology to retrieve LST from Landsat 4 TM, Landsat 5 TM, and Landsat 7 ETM+ using four atmospheric databases covering different water vapor ranges (from 0 to 8 g cm ) to build the LST retrieval models and u...

In this paper, three methods to retrieve the land surface temperature (LST) from thermal infrared data supplied by band 6 of the Thematic Mapper (TM) sensor onboard the Landsat 5 satellite are compared. The first of them lies on the estimation of the land surface temperature from the radiative transfer equation using in situ radiosounding data. The others two are the mono-window algorithm devel...

The NSW Forests Taskforce within Environment Australia purchased multi-temporal Landsat Thematic Mapper (TM) data ranging in dates from 1987 through to 1999 for use in the NSW Regional Forest Agreement (RFA) process. The geometrically and radiometrically corrected multi-temporal mosaics were used to assist in mapping and updating of wilderness areas, old-growth forest and disturbance history la...

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This paper presents the use of multitemporal remote sensing data for monitoring land cover changes in Acre State, Brazilian Amazônia. The 2000 Landsat ETM+, the 1990 Landsat TM, and 1980 Landsat MSS were used. The 2005 and 2007 MODIS images were also used to map deforestation occurred during the recent years and to map burned areas occurred in the 2005 dry year. The Landsat and MODIS images wer...