TY  - SER
AU  - Leng Chivin
AU  - Kibe,Seishiro
AU  - Vivarad Phonekeo ,
AU  - Tripathi,Nitin Kumar
ED  - Technical Working Group on Forestry and Environment, 
TI  - Afforestation land suitability modeling: a case of Kratie, Cambodia
T2  - Thesis
PY  - 2009///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Afforestation
KW  - Remote sensing
KW  - Cambodia
KW  - Kratie
KW  - Land use
N1  - Submitted in partial fulfillment of the requirements for the  degree of Master of Science in  Remote Sensing and Geographic Information Systems; Thesis (M.Sc.) - Asian Institute of Technology, 2009
N2  - Land suitability of afforestation analysis is the important tools for decision maker to launching a reforestation program. Based on the Cambodia forestry statistic issued in year 2002 reported that the forest cover has been reduced from 75% in year 1960 of the whole country to 59.09 % in year 2005-06. The evidence has shown that the suitable afforestation sites and tree relation is needed.  The major purpose of the research is aimed to use remote sensing data to generate land use and land cover (LU/LC) map and for better understanding of present land cover for afforestation. Degraded land has been introduced as the effectiveness for afforestation because it has less conflict between other lands uses types. Furthennore, to assess land suitability for afforestation, Geographic Information System (GIS) base multi-criteria mainly base on FAO framework 1983 for assign weighting factor including six major aspects concerning topography, soil, temperature, drainage, transportation and village accessibility in with desirable tree species were defined as for land suitability analysis.  In assessment of all the above-mentioned aspect, the land is suitable for para rubber combining with assessing of bio-physical requirement with 4,178.32 ha of the land was found to be consider as highly suitable, 6,354.04 ha is well suitable 322.05 is moderate suitable and 36.37 ha is considered as poorly suitable. In the same area, cassava has contributed 5,356.18 ha as considered as poorly suitable
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B03840 
ER  -