Variability and trends in lake ice dynamics (i.e. lake ice phenology) are related to climate conditions. Climate influences the timing of lake ice melt and freeze onset, ice duration, and lake thermal dynamics that feedback to the climate system initiating further change. Phenology records acquired in a consistent manner and over long time periods are required to better understand variability a...

the highest temperatures of the world are recorded in dry and warm climates. this can especially be observed in deserts, where vegetations and soil moisture are very low. as a result, the soil surface receives high thermal energy and its temperature rises up. the lut desert has the above characteristics, making it a suitable environment to prepare land surface temperature (lst) models. objectiv...

Image blending is one of the alternative methods to fill temporal gaps in monitoring historical vegetation properties using continuous NDVI derived from Landsat 5 TM / 7 ETM+ and 8 OLI images. Frequent cloud occurrence tropical upstream catchment limits use image that allow employment a single pair base reference. This study aims evaluate two with nine input data configurations select most appl...

Long-term, remote-sensing-based climate data records (CDRs) are highly dependent on having consistent, wellcalibrated satellite instrument measurements of the Earth’s radiant energy. Therefore, by making historical satellite calibrations consistent with those of today’s imagers, the Earth-observing community can benefit from a CDR that spans a minimum of 30 years. Most operational meteorologica...

Abstract Alaska’s Yukon–Kuskokwim Delta (YKD) is among the Arctic’s warmest, most biologically productive regions, but regional decline of normalized difference vegetation index (NDVI) has been a striking feature spaceborne Advanced High Resolution Radiometer (AVHRR) observations since 1982. This contrast with “greening” prevalent elsewhere in low Arctic raises questions concerning climatic and...

A new software tool for the automatic detection and monitoring of plumes caused by major industrial accidents is described. This tool has been designed in order to use near real time information as provided by satellite images, perform sophisticated image analysis and elaborate a user-friendly operational environment for the detection of plumes caused by major industrial accidents. The methodol...

[1] A powerful resonance in the O1 and K1 diurnal tides occurs over the Kashevarov Bank in the Okhotsk Sea. Model studies show that this resonance creates tidal mixing and an associated vertical heat flux, both with diurnal and fortnightly components. In midwinter this flux controls the behavior of the resultant polynya; in early winter it affects the polynya formation. For the midwinter case, ...

This study aimed to classify the homogeneous regions of vegetation cover, which occur in Rio Grande do Sul, formed by clustering pixels with same pattern temporal variability Normalized Difference Vegetation Index (NDVI) AVHRR GIMMS and MODIS series compare their dynamics. We use K means cluster analysis for defining regions, based on (8 km spatial resolution) (1 NDVI data sets, using monthly i...

Future Satellite Imagers are expected to improve current ones on environmental and meteorological applications. In this study, an automatic classification scheme using radiance measurements with a clustering method is applied in an attempt to compare the capability on cloud classification by different sensors: AVHRR/3, the current GOES-12 Imager, SEVIRI, VIIRS, and ABI. TheMODIS cloud mask is u...