scholarly journals Temporal Changes of land covers analyzed by satellite remote sensing and habitat states of the Iriomote cat Prionailurus iriomotensis

2002 ◽  
Vol 7 (2) ◽  
pp. 25-34 ◽  
Author(s):  
Shinichi Watanabe ◽  
Nozomi Nakanishi ◽  
Noriaki Sakaguchi ◽  
Teruo Doi ◽  
Masako Izawa
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Temporal Changes ◽  
Land Covers

scholarly journals A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing

Harmful Algae ◽  
2017 ◽  
Vol 67 ◽  
pp. 144-152 ◽  
Author(s):  
Erin A. Urquhart ◽  
Blake A. Schaeffer ◽  
Richard P. Stumpf ◽  
Keith A. Loftin ◽  
P. Jeremy Werdell
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Algal Bloom ◽  
Harmful Algal Bloom ◽  
Temporal Changes ◽  
Spatial Extent

scholarly journals THE STUDY OF TEMPORAL CHANGES ON LAND COVER/LAND USE PREVAILING IN BAGHDAD GOVERNORATE USING RS & GIS

2016 ◽  
Vol 47 (3) ◽  
Author(s):  
Ali & Muhaimeed
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Areas ◽  
Temporal Changes ◽  
Remote Sensing And Gis ◽  
Water Bodies ◽  
Dense Vegetation ◽  
Bare Land ◽  
Land Covers

This study was carried out in order to identify and mapping the temporal changes for land covers in Baghdad province using Remote Sensing and GIS. Three images were used of land sate taken in 1976, 2000 and 2014 the study area. Suppervised classification and SAVI Index were used to identify land cover classes dominated in the study area. The results of supper classification indicated the presence of five land cover classes including water bodies, bare land, urban, low dense vegetation, and dense vegetation classes. There were four classes of land cover when was used SAVI index: water, no vegetation (bare land and urban), low dense vegetation, and dense vegetation. The results showed that Remote Sensing is a very active and useful tool that can be used to detect land core types. The results showed a decline in class of water bodies from 2.8% to 1.5% for 1976 to 1990 while in 2014 increased to 2.1%. class Urban areas increased continuously with time and accounted for 17.6% , 23.5% and 28.2 % for years of study, indicating  the existence of the phenomenon of urban encroachment. Bare land areas accounted for 29.3% , 26.8% and 33.5% of stady years, respectively. The class of low dense vegetation decreased from 44.8% to 31.7% and 29.4% for 1976, 1990 and 2014 respectively, while the class-Dense vegetation increased at 1976-1990 from 5.5% to 16.4% and  decreased in 2014 to 6.8%. The SAVI had a role in the detection of agriculture and gave results same to the results of super classification. Results indicated that urban land and salinization process can be consider as the most phenomenon which negatively affected on agriculture area.

Satellite remote sensing for detecting the temporal changes in the grazing lands

1989 ◽  
Vol 17 (4) ◽  
pp. 55-59 ◽  
Author(s):  
K. D. Sharma ◽  
Surendra Singh ◽  
Nepal Singh ◽  
D. N. Bohra
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Temporal Changes ◽  
Grazing Lands

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

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