Wetland inundation is crucial to the survival and prosperity of fauna and flora communities in wetland ecosystems. Even small changes in surface inundation may result in a substantial impact on the wetland ecosystem characteristics and function. This study presented a novel method for wetland inundation mapping at a subpixel scale in a typical wetland region on the Zoige Plateau, northeast Tibe...

This work reports a first attempt to use Landsat satellite imagery to identify possible urban microclimate changes in a city center after a seismic event that affected L'Aquila City (Abruzzo Region, Italy), on 6 April 2009. After the main seismic event, the collapse of part of the buildings, and the damaging of most of them, with the consequence of an almost total depopulation of the historic c...

Information of paddy rice distribution is essential for food production and methane emission calculation. Phenology-based algorithms have been utilized in the mapping of paddy rice fields by identifying the unique flooding and seedling transplanting phases using multi-temporal moderate resolution (500 m to 1 km) images. In this study, we developed simple algorithms to identify paddy rice at a f...

The Landsat suite of satellites has collected the longest continuous archive of multispectral data of any landobserving space program. From the Landsat program’s inception in 1972 to the present, the Earth science user community has benefited from a historical record of remotely sensed data. However, little attention has been paid to ensuring that the data are calibrated and comparable from mis...

Spatially varying haze is a common feature of archival Landsat scenes currently being used for large-area land cover mapping and can significantly affect product quality. Robust haze reduction that is image-based and involves minimal operator intervention, is therefore a necessary a-priori step to information extraction. The practical implementation of a suitable methodology, based on a Haze Op...

Cloud detection of remote sensing imagery is quite challenging due to the influence of complicated underlying surfaces and the variety of cloud types. Currently, most of the methods mainly rely on prior knowledge to extract features artificially for cloud detection. However, these features may not be able to accurately represent the cloud characteristics under complex environment. In this paper...

Floods are considered as one of the most destructive natural disasters, globally. Preparation of an actuate flood inventory map is the basic step in flood disaster management. Flood detection is yet significantly complex process due to the presence of cloud coverage in the tropical areas. Moreover, the most available techniques are expensive and time-consuming. Therefore, in the present study a...

ASTER has similar bandwidths and spatial resolution to Landsat and is an important component of the mid-resolution data archive. However, the limited duty cycle of ASTER and relatively small scene size has resulted in a “patchwork” archive of global imagery. The changes of solar geometries (BRDF) and phenology complicate land cover classification and change detection especially when comparing t...

In remote sensing images the gapping is a known phenomenon. There are several reasons for image gaps, e.g. shadowed area for SAR data sets, cloud coverage for optical imagery and instrument errors such as SLC-off failure. On May 13, 2003 the Scan Line Corrector (SLC) of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor failed permanently causing around 20% of pixels per scene not scanned wh...

What to expect, when planning to use Sentinel-2 datasets in unsupervised classification? This is a very actual question, since Copernicus Sentinel-2 data has been available since November 2015, but due to the winter period conditions, wide use has been obstacled, user experiences are missing. In a European Space Agency (ESA) financed feasibility study we needed to simulate 2015 Sentinel-2 data ...