Integrating remote sensing and conventional grazing/browsing models for modelling carrying capacity in southern African rangelands

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9239, Issue , 2014, Pages

  Adjorlolo, C ^a   Botha, J O ^b   Mhangara, P ^a   Mutanga, O ^c   Odindi, J ^c  

^a SOUTH AFRICAN NATIONAL SPACE AGENCY   (South Africa)

^b KwaZulu Natal Department of Agriculture   (South Africa)

^c UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

BECVOL; Carrying Capacity; Random forest; Rangeland; Savanna; Southern Africa; SPOT5

Indexed keywords

AGRICULTURE; DECISION TREES; ECOLOGY; ECOSYSTEMS; ELECTRIC CURRENT CARRYING CAPACITY (CABLES); FORESTRY; HYDROLOGY; INFRARED DEVICES; LAND USE; MEAN SQUARE ERROR; REGRESSION ANALYSIS; VEGETATION;

BECVOL; RANDOM FORESTS; RANGELAND; SAVANNA; SOUTHERN AFRICA; SPOT5;

REMOTE SENSING;

BIOMASS; FORESTRY; PLANTS; REMOTE SENSING; SOUTH AFRICA;

EID: 84937219576     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2066330     Document Type: Conference Paper

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