Relevant GIS and Remote Sensing Technology: Theoretical Considerations

1996 ◽  
pp. 467-489
Author(s):  
John Elgy ◽  
Thomas William Charnock ◽  
Peter David Hedges
Keyword(s):  
Remote Sensing ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Theoretical Considerations

scholarly journals Assessment of Land Use and Vegetative Cover in Kano Metropolis (from 1975-2015) Employing GIS and Remote Sensing Technology

2020 ◽  
Vol 27 (2) ◽  
pp. 1-7
Author(s):  
M. Haruna ◽  
M.K. Ibrahim ◽  
U.M. Shaibu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Landsat 8 ◽  
Vegetative Cover ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Agricultural Planning ◽  
Bare Land

This study applied GIS and remote sensing technology to assess agricultural land use and vegetative cover in Kano Metropolis. It specifically examined the intensity of land use for agricultural and non agricultural purpose from 1975 – 2015. Images (1975, 1995 and 2015), landsat MSS/TM, landsat 8, scene of path 188 and 052 were downloaded for the study. Bonds for these imported scenes were processed using ENVI 5.0 version. The result indicated five classified features-settlement, farmland, water body, vegetation and bare land. The finding revealed an increase in settlement, vegetation and bare land between 1995 and 2015, however, farmland decreased in 2015. Indicatively, higher percentage of land use for non agricultural purposes was observed in recent time. Conclusively, there is need to accord surveying the rightful place and priority in agricultural planning and development if Nigeria is to be self food sufficient. Keywords: Geographic Information System, Agriculture, Remote sensing, Land use, Land cover

scholarly journals Monitoring of Carbon Sequestration in Iceland Using Remote Sensing Technology: An Overview of the LanDeg Project

Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 39
Author(s):  
Hrabalikova ◽  
Finger
Keyword(s):  
Remote Sensing ◽  
Carbon Sequestration ◽  
Vegetation Cover ◽  
Remotely Sensed Data ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Rs Analysis ◽  
Sequestration Rate ◽  
Gis And Rs

The monitoring of restoration and forestation is essential to reduce future drought and flood risk as well as ongoing carbon sequestration projects in Iceland. This is especially relevant for Iceland’s efforts to become carbon neutral by 2040. Such a monitoring can be done by using the state-of-art remote sensing technology, using remotely sensed data and digital mapping approaches. The LanDeg project will use free Geographic Information System (GIS) and Remote Sensing (RS) data to map soil degradation, restoration and ongoing forestation efforts to assess carbon sequestration. For this purpose, we will validate GIS and RS data analysis with field mapping of vegetation and soil cover in a restored area in southern Iceland. The validated GIS and RS analysis will be used to assess restoration efforts and trends in vegetation cover in the area. Subsequently, the changes in the vegetation cover will be used to assess the carbon sequestration rate. Based on these results we will identify best-restoration and carbon sequestration practices.

Allergenic weed control by GIS and remote sensing technology

2006 ◽  
Vol 34 (1) ◽  
pp. VIII-XI
Author(s):  
P. Reisinger ◽  
É. Lehoczky ◽  
J. Mikulás ◽  
A. Kismányoky ◽  
P. Burai ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Weed Control ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology

Valuate of Soil Conservation of Grassland Ecosystem with GIS and Remote Sensing Technology

2011 ◽  
Vol 365 ◽  
pp. 115-118 ◽  
Author(s):  
Rui Jie Wang ◽  
Lian Wei Yang
Keyword(s):  
Remote Sensing ◽  
Soil Conservation ◽  
Economic Value ◽  
Grassland Ecosystem ◽  
Meadow Steppe ◽  
Gis Technology ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Grassland Types

In this study, we use d remote sensing and GIS technology to estimate the value of soil conservation. The Revised Universal Soil Loss Equation (RUSLE) was used to estimate soil erosion quantity. The total amount of soil conservation of grassland ecosystem was 79.25×105t/a in HulunBuir in 2006, the total value was 81.58×107yuan/a, in which the economic value of soil fertility conservation, reducing abandoned farmland and reducing silt accumulation were 80.39×107yuan/a, 0.694×107yuan/a and 0.50×107yuan/a respectively. For the different grassland types, lowland meadow was maximum, next was temperate meadow-steppe. Marsh was the minimum.

scholarly journals Application of GIS and Remote Sensing Technology to Detect Landscape Change in Hollongapar Gibbon Wildlife Sanctuary, India

2020 ◽  
Vol 9 (6) ◽  
pp. 806-810
Keyword(s):  
Remote Sensing ◽  
Landscape Change ◽  
Land Conversion ◽  
Wildlife Sanctuary ◽  
Study Region ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Gis Integration ◽  
Multi Temporal

The present study stated on an evaluation into the use of remote sensing technology and geographic information systems (GIS) integration to detect land use/cover trajectories in Hollongapar gibbon wildlife sanctuary in Assam, India. Remote sensing technology was used to utilize multi-temporal satellite imagery including Landsat TM (Themetic Mapper) and Landsat OLI (Operational Land Imager) data to perform LU/C change detection from the year 1986 to 2018. The results revealed significant and unequal land conversion in the region of study. The paddy fields and tea gardens in and around the 4 km buffer of the wildlife sanctuary had increased sharply during the period 1986-2018. Remote sensing and GIS integration has been found to be effective in tracking and analyzing trends of LU/C trajectories and assessing the effects of land conversion on biodiversity of the study region.

scholarly journals Use of GIS and Remote Sensing Technology as a Decision Support Tool in Flood Disaster Management: The Case of Southeast Louisiana, USA

2020 ◽  
Vol 12 (02) ◽  
pp. 141-157
Author(s):  
Yaw A. Twumasi ◽  
Edmund C. Merem ◽  
John B. Namwamba ◽  
Ronald Okwemba ◽  
Tomas Ayala-Silva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Support ◽  
Disaster Management ◽  
Decision Support Tool ◽  
Flood Disaster ◽  
Gis And Remote Sensing ◽  
Support Tool ◽  
Remote Sensing Technology ◽  
Sensing Technology
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