Multispectral imaging is becoming an increasingly important tool for monitoring the earth and its environment from space borne and airborne platforms. Multispectral imaging data consists of visible and IR measurements from a scene across space and spectrum. Growing data rates resulting from faster scanning and finer spatial and spectral resolution makes compression an increasingly critical tool...

[1] Satellite measurements from the infrared (IR) channels of the Advanced Very High Resolution Radiometer (AVHRR)/NOAA have been used to derive many important atmospheric, cloud, and surface parameters for weather prediction, climate modelling, and a variety of environmental studies. Calibration accuracy of the satellite data directly affects accuracies of the derived parameters. So far, very ...

The island of Madagascar has been labelled the world's number one conservation 'hot spot' because of increasing anthropogenic degradation of its natural habitats, which support a high level of species endemism. However, climatic phenomena may also have a significant impact upon the island's flora and fauna. An analysis of 18 years of monthly satellite images from the National Oceanographic and ...

NOAA/NESDIS/Center for Satellite Applications and Research has been reprocessing and recalibrating the Microwave Sounding Unit (MSU) observations to generate atmospheric temperature dataset with climate quality. So far, observations from the MSU channels 2, 3, and 4 for NOAA 10, 11, 12, and 14 have been recalibrated using a recently-developed SNO (simultaneously nadir overpasses) sequential non...

one of the most important information in urban forestry is acquaintance of urban landscape’s area or proportion. nowadays, in several countries variable methods are used to achieve this aim. since there is not any complete method to study urban forest’s status in iran, it is impossible to exert authentic management for these resources. hence, in this research, sampling methods and ikonos satell...

SPOT images are one of the most widely used satellite images in middle scale mapping applications for its stereo capability, wide coverage area and well-known satellite model which is supported nearly in all photogrammetric software. Stereoscopic imaging capability of SPOT allows generating digital elevation models (DEM) from a pair of overlapping images. DEMs based on satellite images are esse...

In this study, satellite-based remote sensing techniques were developed for identifying smoke from forest fires. Both artificial neural networks (NN) and multithreshold techniques were explored for application with imagery from the Advanced Very High Resolution Radiometer (AVHRR) aboard NOAA satellites. The NN was designed such that it does not only classify a scene into smoke, cloud, or clear ...

NOAA, National Environmental Satellite, Data, and Information Service, Coral Reef Watch, College Park, MD, United States, Global Science and Technology, Inc., Greenbelt, MD, United States, NOAA, NWS, NCEP Climate Prediction Center, College Park, MD, United States, 4 ReefSense, Aitkenvale, QLD, Australia, Marine Geophysical Laboratory, Physics Department, College of Science and Engineering, Jame...

Spatial data mining is the extraction of implicit knowledge, spatial relations or other patterns not explicitly stored in spatial database. The focus of this paper is placed on the information derivation of spatial data. Geographical coordinates of hot spots in forest fire regions, which are extracted from the satellite images, are studied and used in the detection of likely fire points. Due to...