AVHRR images capture natural calamities in Mid-Atlantic Region

Natural Calamities

Drought is perhaps the manifestation of desertification, which may be because of unprecedented soil erosion, large scale deforestation and abrupt change in micro-climate thereby increasing the temperature and reducing rainfall etc., ultimately leads to fall of groundwater level and hence, loss of agricultural productivity of the land, due to lack of water resources. Since, Indian Agriculture is...

Blurred Region Detection in Natural Images

In this paper we present a global no macro-like images. The purpose is to study the possibility of global assessment based on the an analyzed image. In our case, it represents the first step for a plant recognition system. Blur detection works on small non overlapping blocks using wavelet decomp global images. A set of rules is obtained by a supervised decision tree algorithm trained on a manua...

Deforestation Estimates in Avhrr/noaa and Tm/landsat Images for a Region in Central Brazil

This paper presents a comparison of tropical deforestation estimates in AVHRR/NOAA and TM/Landsat images for a region in Central Brazil where large clearings in the forest prevail. A TM scene of 02/Sept/89 in the scale of 1:250,000 was visually interpreted to produce a map with four classes: natural forests, deforested areas, natural savannahs, and rivers. The AVHRR image of 17/Sept/89 with ful...

Restoration and reconstruction of AVHRR images

Compression of AVHRR images by wavelet packets

AVHRR is an imager flying on polar meteorological satellites that, due to its spatial resolution (about 1 km at Nadir view), produces a huge amount of data. A method based on the wavelet packet transform is devised to compress AVHRR images. The method is driven by the compression error (application dependent), so that different types of images have the same quality. The best basis wavelet packe...