Satellite remote sensing is a valuable tool for monitoring flooding. Microwave sensors are especially appropriate instruments, as they allow the differentiation of inundated from non-inundated areas, regardless levels solar illumination or frequency cloud cover in regions experiencing substantial rainy seasons. In current study we present longest synthetic aperture radar-based time series flood and inundation information derived Mekong Delta that has been analyzed this region so far. We...

Over the past few decades, clearing for shrimp farming has caused severe losses of mangroves in Mekong Delta (MD) Vietnam. Although increasing importance aquaculture Vietnam brought significant financial benefits to local communities, rapid and largely uncontrolled increase aquacultural area contributed a considerable loss mangrove forests environmental degradation. different approaches have been used classification, no approach date addressed challenges special conditions that can be found...

Aquaculture is one of the fastest growing primary food production sectors in India and ranks second behind China. Due to its economic value global demand, India’s aquaculture industry experienced exponential growth for more than decade. In this study, we extract land-based at pond level entire coastal zone using large-volume time series Sentinel-1 synthetic-aperture radar (SAR) data 10-m spatial resolution. Elevation slope from Shuttle Radar Topographic Mission digital elevation model (SRTM...

Information on land cover and use at high spatial resolutions is essential for advancing earth system science as well environmental monitoring to support decision-making reporting processes. In view of this, we present the first version DFD Land Use Cover Product Germany, DFD-LULC_DE, year 2014, generated from 702 Landsat-7 Landat-8 scenes 30 m resolution. The results were derived based a fully automated preprocessing chain that integrates data acquisition, radiometric, atmospheric...

Asia is the major contributor to global aquaculture production in quantity, accounting for almost 90%. These practices lead extensive land-use and land-cover changes coastal areas, thus harm valuable sensitive ecosystems. Remote sensing GIS technologies contribute mapping monitoring of aquaculture, providing essential information management applications. This study aims investigate expansion spatio-temporal dynamics two Chinese river deltas over three decades: Yellow River Delta (YRD) Pearl...

Abstract Accurate quality information on cloud occurrence is of utmost importance for a wide range remote-sensing applications and analyses. This study compares the two existing mask products available Moderate Resolution Imaging Spectroradiometer (MODIS), stored in layer MOD09 daily surface reflectance product. For both masks, statistics are calculated 1 year data covering area southeast Asia. Furthermore, enhancement algorithm presented increasing flag reliability by effectively combining...

The Lower Mekong Basin (LMB) has a typical monsoon climate, with high temperatures and an uneven distribution of precipitation throughout the year. This combined geographic position LMB, led to increase in frequency extreme weather events over last decade. However, few previous studies have used remote-sensing data investigate impact such events, particularly severe droughts, on biological productivity LMB. To address this, we assessed drought vegetation LMB during 2000–2011 using MOD17...

This study examines the potential of open geodata sets and multitemporal Landsat satellite data as basis for automated generation land use cover (LU/LC) information at large scales. In total, six openly available pan-European sets, i.e., CORINE, Natura 2000, Riparian Zones, Urban Atlas, OpenStreetMap, LUCAS in combination with about 1500 Landsat-7/8 scenes were used to generate three large-scale focus regions Europe using TimeTools processing framework. fully preprocessing chain integrates...

Against the background of a worldwide decrease in number gauging stations, estimation river discharge using spaceborne data is crucial for hydrological research, monitoring, and water resource management. Based on at-many-stations hydraulic geometry (AMHG) concept, novel approach introduced estimating Sentinel-1 time series within an automated workflow. By decile thresholding method, no priori knowledge AMHG function or proxy used, as proposed previous literature. With relative root mean...

In this article we present the results of a comparison six globally available land-cover products for Mekong Basin – an area that spans 795,000 km2 and comprises parts riparian countries: China, Myanmar, Thailand, Laos, Cambodia, Vietnam. The basin covers most climatic zones: from high-altitude, snow-covered mountainous regions in north, to subtropical tropical rainforest areas agricultural land further south. geopolitically important region not only is home over 72,000,000 inhabitants, but...

Globally, the number of dams increased dramatically during 20th century. As a result, monitoring water levels and storage volume dam-reservoirs has become essential in order to understand resource availability amid changing climate drought patterns. Recent advancements remote sensing data show great potential for studies pertaining long-term reservoir variations. In this study, we used freely available products assess variations Lake Mead, Powell reservoirs California between 1984 2015....

The natural environment and livelihoods in the Lower Mekong Basin (LMB) are significantly affected by annual hydrological cycle. Monitoring of soil moisture as a key variable cycle is great interest number Hydrological agricultural applications. In this study we evaluated quality spatiotemporal variability product retrieved from C-band scatterometers data across LMB sub-catchments. retrieval algorithm showed reasonable performance most areas with exception few sub-catchments eastern parts...

Natural tropical rainforests in China's Xishuangbanna region have undergone dramatic conversion to rubber plantations recent decades, resulting altering the region's environment and ecological systems. Therefore, it is of great importance for local environmental protection agencies research distribution expansion plantations. The objective this paper monitor dynamic changes based on multitemporal Landsat images (acquired 1989, 2000, 2013) using a C5.0-based decision-tree method. A practical...

The use of multi-temporal datasets, such as vegetation index time series or phenological metrics, for improved classification and regression performance is well established in the remote-sensing science community. However, usefulness information less apparent areas with distinct wet season periods heavily concentrated cloud cover. In view this, this study examines potential datasets estimation sub-pixel land-cover fractions percentage tree cover an area having dry seasons. Prediction based...

The Mekong Delta, located in Southern Vietnam, is one of the most affected areas world by climate change and sea level rises, especially flooding. Therefore, flood mapping essential for understanding regime mitigating its impacts. Remote sensing GIS can support accurate area wide evaluation floods. In this study, high spatial resolution synthetic aperture radar (SAR) optical data were used to generate a dense satellite time series analysing spatio-temporal patterns flooding Delta. To derive...

The farming of aquatic organisms, such as fish, shrimp and mollusks has experienced considerable growth during the past 30 years. In this study, we present a method for derivation aquaculture ponds from high resolution SAR time series data its potential approximation harvest volume. Copernicus Sentinel-1 mission allows continuous radar mapping, enabling exploitation large Open source thresholding segmentation algorithms were applied to extract based on object shape metrics. With collection...