Experiences in integrating satellite remote sensing data and geographic information system in agroecological mapping validating soil map and revising land cover map


Citation

A.B. Ismail, . (1995) Experiences in integrating satellite remote sensing data and geographic information system in agroecological mapping validating soil map and revising land cover map. [Proceedings Paper]

Abstract

This paper higlights some experiences by the Malaysian Agricultural Research and Development Institute MARDI relating to integration of satellite remote sensing data with GIS. Integration of landcover information from multidate Landsat MSS data and several thematic information had produced several agro-ecological units which were homogenous in terms of landcover soil type terrain characteristic and climate. The maps produced were benefecial for determination of general agricultural suitability as well as for crop zoning purposes. Soil survey and mapping were also found to benefit significantly from the integration. Overlaying digitised semi-detailed soil map onto Landsat TM images indicated good correlation of Landsat TM features with major soil groups or characteristics. Delineation of soil series however was quite impossible. As such the procedure is expected to be helpful in planniing the field work validating soil types and positioning the mapping units but could not replace the traditional soil survey approach entirely. In another study Landcover information of Melaka state were easily revised by integrating 1987 landcover map with 1989 Landsat TM images and field work in 1993. After considering the status of newly cleared areas on those two datasets the 1987 landcover map was updated to the 1989 status. After incorporating the extent of newly cleared land during the field work a draft landcover map for 1993 was also produced. Related statistics were then computed.


Download File

Full text available from:

Abstract

This paper higlights some experiences by the Malaysian Agricultural Research and Development Institute MARDI relating to integration of satellite remote sensing data with GIS. Integration of landcover information from multidate Landsat MSS data and several thematic information had produced several agro-ecological units which were homogenous in terms of landcover soil type terrain characteristic and climate. The maps produced were benefecial for determination of general agricultural suitability as well as for crop zoning purposes. Soil survey and mapping were also found to benefit significantly from the integration. Overlaying digitised semi-detailed soil map onto Landsat TM images indicated good correlation of Landsat TM features with major soil groups or characteristics. Delineation of soil series however was quite impossible. As such the procedure is expected to be helpful in planniing the field work validating soil types and positioning the mapping units but could not replace the traditional soil survey approach entirely. In another study Landcover information of Melaka state were easily revised by integrating 1987 landcover map with 1989 Landsat TM images and field work in 1993. After considering the status of newly cleared areas on those two datasets the 1987 landcover map was updated to the 1989 status. After incorporating the extent of newly cleared land during the field work a draft landcover map for 1993 was also produced. Related statistics were then computed.

Additional Metadata

[error in script]
Item Type: Proceedings Paper
Additional Information: Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. G70.5 A7S471 1995 Call Number
AGROVOC Term: IMAGERY
AGROVOC Term: SATELLITES
AGROVOC Term: REMOTE SENSING
AGROVOC Term: DATA ANALYSIS
AGROVOC Term: GEOGRAPHICAL DISTRIBUTION
AGROVOC Term: GEOGRAPHICAL INFORMATION SYSTEMS
AGROVOC Term: CARTOGRAPHY
AGROVOC Term: SOIL
AGROVOC Term: LAND
AGROVOC Term: MALAYSIA
Geographical Term: MALAYSIA
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 05:13
URI: http://webagris.upm.edu.my/id/eprint/10945

Actions (login required)

View Item View Item