A moment-magnitude 9.0 earthquake struck the area off the western coast of northern Sumatra on 26 December 2004, which triggered massive tsunamis inundating the coastal areas in the countries along the Indian Ocean Rim. Various moderateto high-resolution satellite images were obtained before and after the tsunami attack and used for emergency management. High-resolution satellite (e.g. IKONOS) ...

The problem of mixed pixels negatively affects the delineation of accurate surface water in Landsat Imagery. Linear spectral unmixing has been demonstrated to be a powerful technique for extracting surface materials at a sub-pixel scale. Therefore, in this paper, we propose an innovative low albedo fraction (LAF) method based on the idea of unconstrained linear spectral unmixing. The LAF stands...

The present study focuses on the past (1985) and current (2018) status of the Naama’s Sabkha, particularly its salinity, vegetation, and water status. The acquired results will be useful for the preservation of Sabkha biodiversity. The representative sampling allowed us to make 136 soil samples over two depths: topsoil (0-4 cm) and down soil (4-30 cm) layers. The salinity analyses revealed that...

We examined the relationship between satellite measurements of solar-induced chlorophyll fluorescence (SIF) and several meteorological drought indices, including the multi-time-scale standard precipitation index (SPI) and the Palmer drought severity index (PDSI), to evaluate the potential of using SIF to monitor and assess drought. We found significant positive relationships between SIF and dro...

An accurate estimation of carbon fluxes is very important in carbon cycle studies. A remote sensing based gross primary production (GPP) and net ecosystem production (NEP) algorithm, RS-CFLUX, was presented in this work. The algorithm was calibrated with Markov Chain Monte Carlo (MCMC) method at Daman superstation and Zhangye wetland station in the midstream of the Heihe River Basin. Results in...

A method for segmenting water bodies in optical and synthetic aperture radar (SAR) satellite images is proposed. It makes use of the textural features of the different regions in the image for segmentation. The method consists in a multiscale analysis of the images, which allows us to study the images regularity both, locally and globally. As results of the analysis, coarse multifractal spectra...

There are regional limitations in traditional methods of water body extraction. For different terrain, all the methods rely heavily on carefully hand-engineered feature selection and large amounts of prior knowledge. Due to the difficulty and high cost in acquiring, the labeled data of remote sensing is relatively small. Thus, there exist some challenges in the classification of huge amount of ...

Continuous monitoring of water surfaces is essential for resource management. This study presents a nonparametric unsupervised automatic algorithm the identification inland pixels from multispectral satellite data using multidimensional clustering and high-performance subsampling approach large scenes. Clustering analysis technique that used to identify similar samples in space. The spectral in...

The research aims to monitor environmental changes and study the state of desertification in northeastern part Al-Najaf province, Iraq. area suffers from drought phenomena. Remote sensing systems "RS" geographic information "GIS" are essential for monitoring because they provide Earth observation satellites that contribute detecting changes. Two Sentinel 2 images were acquired on December 26, 2...