Publications

Jiang, Y; Wang, J (2019). Crop Extraction and Spatial-temporal Change Analysis in Alpine Region Based on Time Series NDVI. REVISTA DE LA FACULTAD DE AGRONOMIA DE LA UNIVERSIDAD DEL ZULIA, 36(3), 552-559.

Abstract
It is of great significance to obtain crop planting structure for crop growth monitoring, crop disaster monitoring and yield estimation. In this paper, based on the research data of MODISNDVI products, we constructed the phenological charactergraph of corn, soybean and rice by S-G filtering method, and extracted the information of crop planting structure in Heilongjiang Province by hierarchical classification method. The results show that the classification effect of SVM classification method is better, and the classification accuracy can reach more than 96 percent. The crop extraction model was popularized and applied to the MODIS data of 2006, 2009, 2012, 2015 and 2018, we therefore explored the present situation and change of the temporal and spatial pattern of crop planting structure in Heilongjiang Province in recent fifteen years. It provides an effective method for rapid, large-scale and high-precision extraction of crop planting area, and provides scientific evidence for related policies.

DOI:

ISSN:
0378-7818