Land degradation modelling in inaccessible mountainous areas in the tropics

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Abstract

Land degradation processes in hilly areas are often directly related to land cover changes. At the same time, many hilly areas in the tropics are inaccessible and thus lack proper data. As a result, data scarcity is a crucial problem when trying to assess soil erosion. In this paper a method is described showing the use of digital elevation, remote sensing and field measurement techniques for deriving necessary land cover and topographic parameters as required for erosion modelling. The study shows that field measurements help in accurate estimation of cover factor. Similarly, the incorporation of DEM-derived parameters such as upslope catchment area and flow direction network in erosion modelling helps to identify the dominant erosion process active in the area. This makes the formulation of sound conservation measures for minimising soil losses and reducing off-site erosion effects in low lying areas much easier.
Original languageEnglish
Title of host publication35th Asian Conference on Remote Sensing (ACRS 2014)
Subtitle of host publication27-31 October 2014, Nay Pyi Taw, Myanmar
Place of PublicationNay Pyi Taw
PublisherACRS
Number of pages6
Publication statusPublished - 27 Oct 2014
Event35th Asian Conference on Remote Sensing, ACRS 2014: Sensing for Reintegration of Societies - Nay Pyi Taw, Myanmar
Duration: 27 Oct 201431 Oct 2014
Conference number: 35

Conference

Conference35th Asian Conference on Remote Sensing, ACRS 2014
Abbreviated titleACRS
CountryMyanmar
CityNay Pyi Taw
Period27/10/1431/10/14

Fingerprint

land degradation
erosion
modeling
land cover
digital elevation model
soil erosion
remote sensing
tropics
mountainous area
soil
parameter

Keywords

  • METIS-308111

Cite this

Shrestha, D. P. (2014). Land degradation modelling in inaccessible mountainous areas in the tropics. In 35th Asian Conference on Remote Sensing (ACRS 2014): 27-31 October 2014, Nay Pyi Taw, Myanmar Nay Pyi Taw: ACRS.
Shrestha, D.P. / Land degradation modelling in inaccessible mountainous areas in the tropics. 35th Asian Conference on Remote Sensing (ACRS 2014): 27-31 October 2014, Nay Pyi Taw, Myanmar. Nay Pyi Taw : ACRS, 2014.
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title = "Land degradation modelling in inaccessible mountainous areas in the tropics",
abstract = "Land degradation processes in hilly areas are often directly related to land cover changes. At the same time, many hilly areas in the tropics are inaccessible and thus lack proper data. As a result, data scarcity is a crucial problem when trying to assess soil erosion. In this paper a method is described showing the use of digital elevation, remote sensing and field measurement techniques for deriving necessary land cover and topographic parameters as required for erosion modelling. The study shows that field measurements help in accurate estimation of cover factor. Similarly, the incorporation of DEM-derived parameters such as upslope catchment area and flow direction network in erosion modelling helps to identify the dominant erosion process active in the area. This makes the formulation of sound conservation measures for minimising soil losses and reducing off-site erosion effects in low lying areas much easier.",
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author = "D.P. Shrestha",
year = "2014",
month = "10",
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}

Shrestha, DP 2014, Land degradation modelling in inaccessible mountainous areas in the tropics. in 35th Asian Conference on Remote Sensing (ACRS 2014): 27-31 October 2014, Nay Pyi Taw, Myanmar. ACRS, Nay Pyi Taw, 35th Asian Conference on Remote Sensing, ACRS 2014, Nay Pyi Taw, Myanmar, 27/10/14.

Land degradation modelling in inaccessible mountainous areas in the tropics. / Shrestha, D.P.

35th Asian Conference on Remote Sensing (ACRS 2014): 27-31 October 2014, Nay Pyi Taw, Myanmar. Nay Pyi Taw : ACRS, 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Land degradation modelling in inaccessible mountainous areas in the tropics

AU - Shrestha, D.P.

PY - 2014/10/27

Y1 - 2014/10/27

N2 - Land degradation processes in hilly areas are often directly related to land cover changes. At the same time, many hilly areas in the tropics are inaccessible and thus lack proper data. As a result, data scarcity is a crucial problem when trying to assess soil erosion. In this paper a method is described showing the use of digital elevation, remote sensing and field measurement techniques for deriving necessary land cover and topographic parameters as required for erosion modelling. The study shows that field measurements help in accurate estimation of cover factor. Similarly, the incorporation of DEM-derived parameters such as upslope catchment area and flow direction network in erosion modelling helps to identify the dominant erosion process active in the area. This makes the formulation of sound conservation measures for minimising soil losses and reducing off-site erosion effects in low lying areas much easier.

AB - Land degradation processes in hilly areas are often directly related to land cover changes. At the same time, many hilly areas in the tropics are inaccessible and thus lack proper data. As a result, data scarcity is a crucial problem when trying to assess soil erosion. In this paper a method is described showing the use of digital elevation, remote sensing and field measurement techniques for deriving necessary land cover and topographic parameters as required for erosion modelling. The study shows that field measurements help in accurate estimation of cover factor. Similarly, the incorporation of DEM-derived parameters such as upslope catchment area and flow direction network in erosion modelling helps to identify the dominant erosion process active in the area. This makes the formulation of sound conservation measures for minimising soil losses and reducing off-site erosion effects in low lying areas much easier.

KW - METIS-308111

M3 - Conference contribution

BT - 35th Asian Conference on Remote Sensing (ACRS 2014)

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Shrestha DP. Land degradation modelling in inaccessible mountainous areas in the tropics. In 35th Asian Conference on Remote Sensing (ACRS 2014): 27-31 October 2014, Nay Pyi Taw, Myanmar. Nay Pyi Taw: ACRS. 2014