scholarly journals Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

2017 ◽  
Vol 9 (8) ◽  
pp. 807 ◽  
Author(s):  
Ben DeVries ◽  
Chengquan Huang ◽  
Megan Lang ◽  
John Jones ◽  
Wenli Huang ◽  
...  
Keyword(s):  
Surface Water ◽  
Satellite Imagery ◽  
Automated Quantification ◽  
Water Inundation

scholarly journals Variations Size Investigation in Vegetation and Surface Water Body for Central Part of Iraq using Satellite Imagery Bands

2020 ◽  
Vol 928 ◽  
pp. 022064
Author(s):  
Malik R. Abbas ◽  
Mahir Mahmod Hason ◽  
Baharin Bin Ahmad ◽  
Abd Wahid Bin Rasib ◽  
Talib R. Abbas
Keyword(s):  
Surface Water ◽  
Satellite Imagery ◽  
Water Body ◽  
Surface Water Body

Using Satellite Imagery to Examine the Relationship between Surface-Water Dynamics of the Salt Lakes of Western Texas and Ogallala Aquifer Depletion

Wetlands ◽  
2017 ◽  
Vol 37 (6) ◽  
pp. 1055-1065 ◽  
Author(s):  
L. J. Heintzman ◽  
S. M. Starr ◽  
K. R. Mulligan ◽  
L. S. Barbato ◽  
N. E. McIntyre
Keyword(s):  
Surface Water ◽  
Satellite Imagery ◽  
Water Dynamics ◽  
Salt Lakes ◽  
Ogallala Aquifer ◽  
Aquifer Depletion ◽  
The Relationship

scholarly journals Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions

2014 ◽  
Vol 9 (7) ◽  
pp. 075001 ◽  
Author(s):  
Jennifer D Watts ◽  
John S Kimball ◽  
Annett Bartsch ◽  
Kyle C McDonald
Keyword(s):  
Surface Water ◽  
Methane Emissions ◽  
Water Inundation

scholarly journals Use of Satellite Imagery for Pastoral Resources Monitoring in Kossi Province (Burkina Faso)

2019 ◽  
Vol 7 (2) ◽  
pp. 1
Author(s):  
Sieza Yssouf ◽  
Gomgnimbou P. K Alain ◽  
Belem Adama ◽  
Serme Idriss
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Burkina Faso ◽  
Satellite Imagery ◽  
Field Data ◽  
Satellite Images ◽  
Temporal Evolution ◽  
Livestock Farming ◽  
Important Place ◽  
Livestock Sector

In Burkina Faso, livestock sector has an important place in the country's economy. Essentially extensive, this livestock farming is characterized by transhumance system, which consists of leading livestock sometimes over long distances in search of good pastures and water.Satellite images from different periods can be used to monitor the evolution of pastoral resources (pasture areas and surface water points) in a given area. Field data, coupled with satellite images, provide a better understanding of livestock transhumance movements in the study area. The objective of this study was to monitor the spatial and temporal evolution of pastoral resources using remote sensing tools in Kossi province. Field data, coupled with satellite images, provide a better understanding of livestock transhumance movements in the study area.

scholarly journals Global partitioning of runoff generation mechanisms using remote sensing data

2020 ◽  
Vol 24 (3) ◽  
pp. 1415-1427
Author(s):  
Joseph T. D. Lucey ◽  
John T. Reager ◽  
Sonya R. Lopez
Keyword(s):  
Quality Control ◽  
Surface Water ◽  
Time Lag ◽  
Water Storage ◽  
Time Lags ◽  
Terrestrial Water Storage ◽  
Total Water ◽  
Runoff Generation ◽  
Terrestrial Water ◽  
Water Inundation

Abstract. A set of complex processes contribute to generate river runoff, which in the hydrological sciences are typically divided into two major categories: surface runoff, sometimes called Hortonian flow, and baseflow-driven runoff or Dunne flow. In this study, we examine the covariance of global satellite-based surface water inundation (SWI) observations with two remotely sensed hydrological variables, precipitation, and terrestrial water storage, to better understand how apparent runoff generation responds to these two dominant forcing mechanisms in different regions of the world. Terrestrial water storage observations come from NASA’s Gravity Recovery and Climate Experiment (GRACE) mission, while precipitation comes from the Global Precipitation Climatology Project (GPCP) combined product, and surface inundation levels from the NASA Surface WAter Microwave Product Series (SWAMPS) product. We evaluate the statistical relationship between surface water inundation, total water storage anomalies (TWS; TWSAs), and precipitation values under different time lag and quality control adjustments between the data products. We find that the global estimation of surface inundation improves when considering a quality control threshold of 50 % reliability for the SWAMPS data and after applying time lags ranging from 1 to 5 months. Precipitation and total water storage equally control the majority of surface inundation developments across the globe. The model tends to underestimate and overestimate at locations with high interannual variability and with low inundation measurements, respectively.

scholarly journals On the merging of optical and SAR satellite imagery for surface water mapping applications

2018 ◽  
Vol 9 ◽  
pp. 275-277 ◽  
Author(s):  
Kel N. Markert ◽  
Farrukh Chishtie ◽  
Eric R. Anderson ◽  
David Saah ◽  
Robert E. Griffin
Keyword(s):  
Surface Water ◽  
Satellite Imagery ◽  
Water Mapping
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