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Remote Sensing and Hydrology 2000

Manfred Owe
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The article was published on 2001-08-01 and is currently open access. It has received 21 citations till now. The article focuses on the topics: Remote sensing (archaeology).

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Citations
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An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

TL;DR: In this article, the authors developed a flood model using various flood causative factors using ANN techniques and geographic information system (GIS) to modeling and simulate flood-prone areas in the southern part of Peninsular Malaysia.
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Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey

TL;DR: In this paper, the authors compared the results of MODIS snow cover maps with in situ ground information for the winter of 2002-2003 both during accumulation and ablation and at accumulation stage of 2003-2004.
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Assessing the potential of thermal infrared satellite surveys for monitoring seismically active areas: The case of Kocaeli (İzmit) earthquake, August 17, 1999

TL;DR: In this article, a robust satellite data analysis technique is described which permits us to identify anomalous space-time TIR signal transients even in very variable observational (satellite view angle, land topography and coverage, etc.) and natural (e.g. meteorological) conditions.
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Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust

TL;DR: In this paper, the authors analyzed the behavior of the TerraSAR-X signal for two configurations, HH-25° and HH-50°, with regard to several soil conditions: moisture content, surface roughness, soil composition and soil-surface structure (slaking crust).
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Simulating snowmelt processes during rain-on-snow over a semi-arid mountain basin

TL;DR: In this article, an energy-balance snowmelt model was used to simulate snow-melt processes during the January 1997 event over a small headwater basin within the Reynolds Creek Experimental Watershed located in the Owyhee Mountains of southwestern Idaho.
References
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The Tropical Rainfall Measuring Mission (TRMM) Sensor Package

TL;DR: In this article, the authors present a reference guide to users wishing to make use of the Tropical Rainfall Measuring Mission data, which covers each of the three primary rainfall instruments: the passive microwave radiometer, the precipitation radar, and the Visible and Infrared Radiometer System on board the spacecraft.
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Mean seasonal and spatial variability in gauge‐corrected, global precipitation

TL;DR: In this article, a global climatology of mean monthly precipitation has been developed using traditional land-based gauge measurements and shipboard estimates, and a procedure for correcting gauge-induced biases is presented and used to remove systematic errors caused by wind, wetting on the interior walls of the gauge, and evaporation from the gauge.
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Discriminating clear sky from clouds with MODIS

TL;DR: The MODIS cloud mask algorithm as discussed by the authors uses several cloud detection tests to indicate a level of confidence that the MEDIS is observing clear skies, which is ancillary input to MEDIS land, ocean, and atmosphere science algorithms to suggest processing options.
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Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data

TL;DR: The SNOMAP algorithm as discussed by the authors was developed to map global snow cover using Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) data beginning at launch in 1998.