Mapping of rice-cropping pattern and cultural type using remote-sensing and ancillary data: a case study for South and Southeast Asian countries

International Journal of Remote Sensing

Volumn 36, Issue 24, 2015, Pages 6008-6030

  Manjunath, K R ^a   More, Revati S ^a,b   Jain, N K ^b   Panigrahy, Sushma ^a   Parihar, J S ^a  

^a Indian Space Research Organization Space Application Centre   (India)

^b GUJARAT UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; FORESTRY; GAS EMISSIONS; GREENHOUSE GASES; MAPPING; VEGETATION;

AGRICULTURAL AREAS; CROP SIMULATION MODEL; GEO-SPATIAL DATABASE; HIGH TEMPORAL RESOLUTION; LINEAR COEFFICIENTS; NORMALIZED DIFFERENCE VEGETATION INDEX DATUM; REMOTE SENSING DATA; VEGETATION PHENOLOGY;

REMOTE SENSING;

CROP PRODUCTION; DATABASE; MAPPING; NDVI; PADDY FIELD; PHENOLOGY; REMOTE SENSING; RICE; SPATIAL DATA; SPATIAL DISTRIBUTION; SPOT;

SOUTH ASIA; SOUTHEAST ASIA;

EID: 84948393486     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1110259     Document Type: Article

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