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首页> 美国政府科技报告 >REMOTE SENSING IN IOWA AGRICULTURE Identification & classification of Iowa's crops soils and forestry resources using ERTS-1 and complimentary under flight imagery
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REMOTE SENSING IN IOWA AGRICULTURE Identification & classification of Iowa's crops soils and forestry resources using ERTS-1 and complimentary under flight imagery

机译：爱荷华州农业中的遥感感应使用ERTs-1识别和分类爱荷华州的农作物土壤和林业资源以及飞行中的免费图像

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This research has been directed towards inventory of cropland and forestland and towards soil association mapping using ERTS-1 imagery. The following summarizes this work. l)C-opland identification and acreage estimates - only limited acreage estimates have been attempted to date as digital analysis using CCT's appears most practical and is just beginning. We report a temporal digital classifier for central Iowa. Cropland identification of temporal ERTS-1 data visually appears to separate most crop typec, but the timing of satellite coverage is critical. Broad synoptic cropland usage is discussed. 2) Forested land estimates - acreage estimates of forestland in 8 townships in central Iowa were attained using wintertime ERTS-1 imagery. Comparisons with known ground truth are presented and indicate these estimates may be attainable using CCT's. 3) Soil association mapping-ERTS-1 imagery comprised of springtime MSS7 were used to produce a state mosaic. 4) Crop disease detection - Crop diseases were evident on the underflight imagery at test sites;however, detection from satellite imagery was hampered by resolution, normal crop senescence and other field anamolies.

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