%0 Journal Article
%4 sid.inpe.br/iris@1912/2005/07.18.21.57.42
%2 sid.inpe.br/iris@1912/2005/07.18.21.57.48
%@issn 1516-697X
%F 325
%T Use of Landsat data for automatic classification and area estimation of sugarcane plantation in Sao Paulo State, Brazil
%D 1981
%8 Oct./Dec.
%9 journal article
%A Mendonca, Francisco Jose,
%B International Journal of Remote Sensing
%V 2
%N 4
%P 361-368
%K AGRONOMIA, SAO PAULO (ESTADO), CLASSIFICACAO DIGITAL, CANA-DE-ACUCAR, IMAGE 100, AGRICULTURE, DIGITAL CLASSIFICATION, SUGAR CANE.
%X Sugarcane (Saccharum spp.)plantation of Sao Paulo State was classified automatically using IMAGE-100 system and LANDSAT digital data. Ten segments of the size 20 x 10 km were aerially photographed and used as training areas for automatic classification. The study area was covered by four LANDSAT paths 235, 236, 237 and 238. The percentages of overall correct classification for these paths range from 79.56 for path 238 to 95.59 for path 237.
%@language en
%3 INPE 1929.pdf
%O 01431161
%O 10.1080/01431168108948370