Determining temporal windows for crop discrimination with remote sensing: a case study in south-eastern Australia
Tài liệu tham khảo
Barbosa, 1996, Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district, International Journal of Remote Sensing, 17, 3665, 10.1080/01431169608949176
Barrs, 1994, An inexpensive and effective basis for monitoring rice areas using GIS and remote sensing, Australian Journal of Experimental Agriculture, 34, 1079, 10.1071/EA9941079
Campbell, 1987
Congalton, 1991, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing of Environment, 37, 35, 10.1016/0034-4257(91)90048-B
Datt, 2003, Pre-processing EO-1 Hyperion hyperspectral data to support the application of agricultural indices, IEEE Transactions on Geoscience and Remote Sensing, 41, 1246, 10.1109/TGRS.2003.813206
Humphreys, 2003, Increasing water productivity in irrigated rice systems in Australia: institutions and policies, 1022
Humphreys, 2003, Increasing water use efficiency—rice-based cropping systems of southern NSW, Natural Resource Management, 6, 28
Jupp, D.L.B., 2001. Background to algorithms and use of MOSMOD (MOSaic MODel) within the microBRIAN Image Processing System (unpublished notes), CSIRO, Canberra, p. 8.
Key, 2001, A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest, Remote Sensing of Environment, 75, 100, 10.1016/S0034-4257(00)00159-0
Khan, 2003, Better management of rice-based farming systems—advances in mathematical modelling, Natural Resource Management, 6, 55
Langley, 2001, A comparison of single date and multitemporal satellite image classification in a semi-arid grassland, Journal of Arid Environments, 49, 401, 10.1006/jare.2000.0771
Le Hegarat-Mascle, 2000, Land cover discrimination from multitemporal ERS images and multispectral Landsat images: a study case in an agricultural area in France, International Journal of Remote Sensing, 21, 435, 10.1080/014311600210678
Li, C., Qiu, J., Frolking, S., Xiao, X., Salas, W., Moore III, B., Boles, S., Huang, Y., Sass, R., 2002. Reduced methane emissions from large-scale changes in water management of China’s rice paddies during 1980–2000. Geophysical Research Letters 29, 33-1–33-4.
McVicar, 1988
Quarmby, 1993, The use of multi-temporal NDVI measurements from AVHRR data for crop yield estimation and prediction, International Journal of Remote Sensing, 14, 199, 10.1080/01431169308904332
Sheffield, 1985, Selecting band combinations from multispectral data, Photogrammetric Engineering and Remote Sensing, 51, 681
Turner, 1998, Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain, International Journal of Remote Sensing, 19, 21, 10.1080/014311698216404
Van Niel, 2001, Assessing positional accuracy and its effects on rice crop area measurement: an application at Coleambally Irrigation Area, Australian Journal of Experimental Agriculture, 41, 557, 10.1071/EA00140
Van Niel, 2003, A simple method to improve field-level rice identification: toward operational monitoring with satellite remote sensing, Australian Journal of Experimental Agriculture, 43, 379, 10.1071/EA02182
Van Niel, 2004, Current and potential uses of optical remote sensing in rice-based irrigation systems: a review, Australian Journal of Agricultural Research, 55, 155, 10.1071/AR03149