典型作物种植结构遥感提取--以赤峰市宁城县与喀喇沁旗为例

Extraction of Typical Crop Structure Based on Remote Sensing--A Case Study of Ningch-eng and Kalaqin County,Chifeng

基于遥感的种植结构提取对农业资源调查、作物面积监测及产量估算、农作物灾害预警和灾后评估具有重要意义。本文根据高分一号和高分六号的数据,选用3个与农作物相关的植被指数(NDVI、EVI、RVI),3个纹理特征信息(DEM、坡度、坡向)以及融合后各个波段作为模型输入特征,研究基于高分辨率率影像数据的农作物分类。结果表明:西北部农作物主要为玉米,中部主要为谷子,东南部地区以玉米为主,其次为高粱和谷子;红边波段705和红边波段745均对农作物的识别和分类具有一定的作用。

The extraction of planting structure based on remote sensing have great significance for agricultural resource investigation,crop area monitoring and yield estimation,crop disaster warning and postdisaster assessment.The article used the data of GF-1 and GF-6,chose 3 vegetation indices(NDVI,EVI,RVI)related to crops,3 texture feature information(DEM,slope,aspect),and bands after fusing are selected as models,researched the crop classification based on high-resolution image data.The results of crop distribution showed that corn was mainly distributed in the northwest,millet was mainly distributed in the middle,corn was mainly distributed in the southeast,followed by sorghum and millet;both red edge band 705 and red edge band 745 can improve crop recognition and classification.