Accuracy assessment in cotton acreage estimation using Indian remote sensing satellite data

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 49, Issue 6, 1994, Pages 21-26

  Dutta, Sujay ^a   Sharma, S A ^a   Khera, A P ^c   Ajai, ^a   Yadav, M ^b   Hooda, R S ^b   Mothikumar, K E ^b   Manchanda, M L ^b  

^a INDIAN SPACE RESEARCH ORGANISATION   (India)

^b Haryana State Remote Sensing Application Centre (HARSAC)   (India)

^c CCS HARYANA AGRICULTURAL UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICAITON ACCURACY; COTTON ACREAGE ESTIMATION; IRS-1B; MAXIMUM LIKELIHOOD; MINIMUM DISTANCE;

CLASSIFICATION (OF INFORMATION); COTTON; CROPS; ESTIMATION; GEODETIC SATELLITES; GEOLOGICAL SURVEYS; MAPS;

AGROCLIMATIC CONDITIONS; COTTON ACREAGE ESTIMATION; MAXIMUM LIKELIHOOD CLASSIFIERS; MINIMUM DISTANCE; SPATIAL RESOLUTION; SPECTRAL BANDS;

REMOTE SENSING;

EID: 0028669117     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/0924-2716(94)90011-6     Document Type: Article

References (18)

1. Cotton acreage estimation and condition assessment
2. Spatial correlation effects upon accuracy of supervised classification of land cover
3. A review of assessing the accuracy of classifications of remotely sensed data
4. The interactive effect of spatial resolution and degrees of internal variability within land cover types on classification accuracies
5. Basic research problems in remote sensing
6. An assessment of some factors influencing multispectral land cover classification
7. Evaluation of several classification schemes for mapping forest cover types in Michigan
8. Correct formulation of the kappa coefficient of agreement
9. Accuracy of forest mapping from Landsat computer compatible tape
10. Landcover classification accuracy as a function of sensor spatial resolution
11. Remote sensing applications in agriculture
12. Crop inventory using remotely sensed data
13. A comparative study of supervised classifiers on a sub scene in Junagadh district, Gujarat
14. Using classification error matrices to improve the accuracy of weighted land cover models
15. A coefficient of agreement as a measure of thematic classification accuracy
16. Rapeseed-mustard acreage estimation using IRS LISS-II data
17. Agricultural land cover discrimination using thematic mapper spectral bands
18. Characterizing spatial patterns in remotely sensed data