000			04123cas a2200397 a 4500
005			20260817162913.0
008			110914s1986 th uu|m rtt 0| a1eng d
035			_a.b10088179
099		9	_aAIT Thesis no.AE-86-35
100	1		_aIslam, Khandakar Rafiqul
245	1	0	_aApplication of Landsat MSS data to identify land use/cover types in the eastern part of Chao Phraya Plain, Thailand
260			_aBangkok : _bAsian Institute of Technology, _c1986
300			_a88 p.
490	1		_aThesis ; _vno. AE-86-35
500			_aA thesis submitted in partial fulfillment of the requirements for t he degree of Master of Science. School of Environment, Resources and Development
502			_aThesis (M.Sc.) - Asian Institute of Technology, 1986
520			_aLandsat MSS data were used to assess the feasibility of utilizing for identification of different land use/cover types and their multitemporal distribution in the Eastern Part of Chao Phraya Plain, Thailand, using both visual interpretation (manual) and computer assisted analyses. The results of this study show that black/white imagery of MSS band 2 and 4 and false color composites in single or in combination with other bands were found appropriate to identify the different land use/cover types from visual interpretation, and band 4 was found excellent in determining land use/cover types and soil properties such as soil moisture contents, soil textural composition, soil organic matter contents and soil color from computer analysis. Ten land use/cover types such as evergreen forest, mixed deciduous/ evergreen forest, scattered plants/scrubs/grasses, perennial crops, paddy, fallow land of dry/light color soil, fallow land (wet/dark color soil), burned land, urban land and water body/swamps were identified from both visual and computer analyses during dry season. On the other hand, only seven land use/cover types such as evergreen forest, mixed deciduous/evergreen forest, scattered plants/scrubs/ grasses, perennial crops, paddy, urban land and water body/swamps were able to identify from visual analysis. 57 percent of the total land in the study area was found fallow during dry season of the year. The results indicated that the visual interpretation (manual) provides a simple and inexpensive approach for analyzing Landsat data but whenever considering the accuracy and detail of the mapping unit , the computer analysis has found superior results. 79 percent accuracy was observed from computer aided analysis of Landsat multispectral data as compared to 60% and 47% from visual analysis for dry and wet seasons respectively. Computer aided analysis of Landsat MSS data yields highly satisfactory results in spite of complex land use/cover environment in the study area. Therefore, visual interpretation and coinputer aided analysis of remote sensing MSS data should be used complementarily and consideration must be given to which approach (or combination of techniques) of remote sensing best fits a particular application for land use/cover types and other resource management inventories.
650		0	_aLandsat satellites
650		0	_aLand use _zThailand _zChao Phraya Plain
700	1		_aNielsen, Jens Moller, _eChairperson
700	0		_aApisit Eiumnoh, _eCo-Chairperson
700	1		_aBorel, Denis, _eExamination Committee
710	2		_aThe Government of Australia., _eScholarship Donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. AE-86-35
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B19596
907			_a.b10088179 _bmnait _cs
902			_a240410
998			_b2 _c951012 _dm _ea _fs _g0
945			_lmnait
945			_lmnarc
942			_c22
942			_c40
909			_aBarcode : 30050120100119 _bCREATED : 2014-07-02 _cRECORD # : i12759259 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050120300024 _bCREATED : 2016-05-27 _cRECORD # : i12996774 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
999			_c6673 _d6673