Title :
Analysts of independent deforestation maps derived from different low resolution optical sensors, with reference to high resolution ERS-1 SAR data: a case study in the Amazon basin
Author :
Eva, Hugh ; Conway, Jacquie ; D´Souza, G.
Author_Institution :
Inst. for Remote Sensing Appl., CEC Joint Res. Centre, Ispra, Italy
Abstract :
Two classifications of non-forest areas around Rio Branco, Brazil, derived from different 1 km resolution sensors are compared with a high resolution (100 m) classification. The aim of the study is to assess the feasibility of integrating classifications from the NOAA 11 Advanced Very High Resolution Radiometer (AVHRR) data, and the ERS-1 Along Track Scanning Radiometer (ATSR-1), for operational regional deforestation monitoring. The results show that significant differences exist between the two classifications and that a rigorous methodology needs to be adopted if quantitative estimates are to be extracted from the data
Keywords :
forestry; geophysical signal processing; geophysical techniques; image classification; infrared imaging; optical information processing; remote sensing; ATSR; AVHRR; Along Track Scanning Radiometer; Amazon basin; Brazil; ERS-1; IR infrared imaging; Rio Branco; classification; deforestation map; geophysical measurement technique; low resolution optical sensor; operational regional deforestation monitoring; optical imaging; satellite remote sensing; tropical forest forestry; vegetation mapping; Calibration; Computer aided software engineering; Data mining; Optical sensors; Radiometry; Remote monitoring; Satellite broadcasting; Spatial resolution; Testing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.520272
