Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh

Egyptian Journal of Remote Sensing and Space Science

Volumn 21, Issue 1, 2018, Pages 37-47

  Islam, Kamrul ^a   Jashimuddin, Mohammed ^a   Nath, Biswajit ^a   Nath, Tapan Kumar ^a,b  

^a UNIVERSITY OF CHITTAGONG   (Bangladesh)

^b UNIVERSITY OF NOTTINGHAM MALAYSIA CAMPUS   (Malaysia)

Author keywords

Chunati wildlife sanctuary (CWS); Geographic information system (GIS); Land use classification; Land use land cover change (LULCC); Protected area; Remote sensing (RS)

Indexed keywords

ANIMALS; BIODIVERSITY; CLASSIFICATION (OF INFORMATION); CONSERVATION; ENVIRONMENTAL PROTECTION; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE CLASSIFICATION; MAXIMUM LIKELIHOOD; REMOTE SENSING;

CHUNATI WILDLIFE SANCTUARY (CWS); LAND USE/LAND COVER CHANGE; LANDUSE CLASSIFICATIONS; MANAGEMENT DECISIONS; MAXIMUM LIKELIHOOD CLASSIFICATIONS; PROTECTED AREAS; REMOTELY SENSED IMAGERY; SUPERVISED CLASSIFICATION;

LAND USE;

ALGORITHM; CLASSIFICATION; GIS; LAND COVER; LAND USE CHANGE; LANDSAT THEMATIC MAPPER; PROTECTED AREA; REMOTE SENSING; SATELLITE IMAGERY; TEMPORAL VARIATION;

BANGLADESH;

EID: 85008474207     PISSN: 11109823     EISSN: 20902476     Source Type: Journal    
DOI: 10.1016/j.ejrs.2016.12.005     Document Type: Article

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