%0 Journal Article
%T 基于RS和GIS的饶河县农作物种植结构研究<br>Research on Crop Planting Structure in Raohe County Based on RS and GIS
%A 赵悦如
%J Open Journal of Nature Science
%P 292-297
%@ 2330-1732
%D 2025
%I Hans Publishing
%R 10.12677/ojns.2025.132030
%X 在当前全球变暖的趋势下&#65292;农作物长势遥感监测一直备受关注。及时准确地掌握各种农作物种植面积和空间分布&#65292;对于制定农业政策&#65292;保障粮食安全具有重要意义。尤其是东北地区&#65292;作为全国重要的商品粮生产基地&#65292;在有关农业遥感系统中&#65292;分析农作物中的种质结构是极其关键的一步。由于农作物种植结构是一种基础数据&#65292;它对于提高耕地的利用效率&#65292;保障粮食安全&#65292;优化东北地区农业种植结构具有重大意义。本文选取了东北地区黑龙江省饶河县作为研究区域&#65292;以2000年至2020年可利用的遥感影像为数据源&#65292;选取主要农作物玉米、水稻、大豆作为研究对象&#65292;对农作物种植结构的时空变化进行分析研究。<br>Under the current trend of global warming, remote sensing monitoring of crop growth has been attracting much attention. It is of great significance to grasp the planting area and spatial distribution of various crops in a timely and accurate manner for formulating agricultural policies and ensuring food security. In particular, the Northeast region, as an important commercial grain production base in the country, is an extremely critical step in the relevant agricultural remote sensing system to analyze the planting structure of crops. Since crop planting structure is a kind of basic data, it is of great significance to improve the utilization efficiency of cultivated land, ensure food security, and optimize the agricultural planting structure in Northeast China. In this paper, we selected Raohe County, Heilongjiang Province in Northeast China as the research field, and used the available remote sensing images from 2000 to 2020 as the data source, and selected the main crops maize, rice, and soybean as the research objects to analyze and study the temporal and spatial changes of crop planting structure.
%K 农作物种植结构&#65292
%K NDVI&#65292
%K 监督分类&#65292
%K 最大似然分类法<br>Crop Planting Structure
%K NDVI
%K Supervisory Classification
%K Maximum Likelihood Classification
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=108996