Landsat‐5 Thematic Mapper data for pre‐planting crop area evaluation in tropical countries

This paper describes an approach in which multitemporal Landsat‐5 Thematic Mapper (TM) data from the pre‐planting season, when the cloud cover is minimal, was used in order to evaluate the area to be planted with annual crops in the rainy season. Both supervised and non‐supervised classification of multitemporal Normalized Difference Vegetation Index (NDVI) images were evaluated. The interpretation of the areas to be planted with summer crops was based on field work, NDVI temporal profiles, unitemporal classifications, and the crop calendar of the region. A correction based on the error matrix was applied to the classification and the results were compared to the estimation provided by the official agencies using kappa statistics analysis. The proposed method was shown to be a feasible alternative for improving the crop estimation programme, especially for the tropical countries where the cloud cover has restricted the use of optical remote sensing data.

[1]  D. Deering.  Measuring forage production of grazing units from Landsat MSS data , 1975 .

[2]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[3]  L. F. Curtis.  Remote sensing techniques , 1978, Nature.

[4]  J. L. van Genderen,et al.  Remote Sensing: Statistical Testing of Thematic Map Accuracy , 1978 .

[5]  A. Hay.  Sampling designs to test land-use map accuracy , 1979 .

[6]  J. G. Carnes,et al.  Use of landsat-derived temporal profiles for corn-soybean feature extraction and classification , 1982 .

[7]  Philip N. Slater,et al.  Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres , 1983 .

[8]  S. Aronoff,et al.  The minimum accuracy value as an index of classification accuracy , 1985 .

[9]  R. A. Ryerson,et al.  Timely crop area estimates from Landsat , 1985 .

[10]  T. M. Lillesand,et al.  Use of multitemporal spectral profiles in agricultural land-cower classification , 1986 .

[11]  G. H. Rosenfield,et al.  A coefficient of agreement as a measure of thematic classification accuracy. , 1986 .

[12]  David L.B. Jupp,et al.  The stability of global estimates from confusion matrices , 1989 .

[13]  K. Hall-Könyves.  Crop monitoring in Sweden , 1990 .

[14]  W. Teng,et al.  AVHRR monitoring of U.S. crops during the 1988 drought , 1990 .

[15]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[16]  S. Goetz,et al.  Radiometric rectification - Toward a common radiometric response among multidate, multisensor images , 1991 .

[17]  M. Nellis,et al.  Seasonal variation of heterogeneity in the tallgrass prairie : a quantitative measure using remote sensing , 1991 .

[18]  Steven A. Sader,et al.  RGB-NDVI colour composites for visualizing forest change dynamics , 1992 .

[19]  James E. McMurtrey,et al.  Fluorescence and reflectance of crop residue and soil , 1993 .

[20]  D. Mouat,et al.  Remote sensing techniques in the analysis of change detection , 1993 .

[21]  A. Huete,et al.  A Modified Soil Adjusted Vegetation Index , 1994 .

[22]  Kenneth C. McGwire,et al.  Crop area monitoring within an advanced agricultural information system , 1994 .

[23]  Elaine Cristina,et al.  EXATIDÃO NO PROCESSO DE MAPEAMENTO TEMÁTICO DA VEGETAÇÃO DE UMA ÁREA DE MATA ATLÂNTICA NO ESTADO DE SÃO PAULO, A PARTIR DE IMAGENS TM-LANDSAT , 1995 .

[24]  B. Brisco,et al.  Multidate SAR/TM synergism for crop classification in western Canada , 1995 .

[25]  Zhenkui Ma,et al.  Tau coefficients for accuracy assessment of classification of remote sensing data , 1995 .

[26]  C. Woodcock,et al.  The status of agricultural lands in Egypt: The use of multitemporal NDVI features derived from landsat TM☆ , 1996 .

[27]  Antonio Roberto Formaggio,et al.  Classification of croplands through integration of remote sensing, GIS, and historical database , 1997 .

[28]  Curtis E. Woodcock,et al.  Monitoring agricultural lands in Egypt with multitemporal Landsat TM imagery: How many images are needed? , 1997 .

[29]  R. Arbiol,et al.  Remote sensing and agricultural statistics: Crop area estimation in north-eastern Spain through diachronic Landsat TM and ground sample data , 1997 .

[30]  Evaluation of Radarsat multitemporal data for crop discrimination in highly cultivated areas , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[31]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .