The invention relates to the field of
remote sensing mapping, and discloses a farmland
protection forest extraction method based on an
anthocyanin reflection
vegetation index of an enhanced near-
infrared and blue
wave band, and the method comprises the steps: 1, obtaining images, and splicing the obtained images through employing a tool of embedding to a new grid in ArcGIS
software; step 2, calculating a
vegetation index, and providing RMARI-NIR and RMARI-RGB indexes suitable for different scenes; 3, making a farmland
protection forest label data set; and step 4, uploading a
label data set and a research area vector range on a Google Earth Engine platform, dividing a
training set and
test set proportion, calculating a Kappa coefficient and total precision as evaluation indexes, using the evaluation indexes as a
verification method of innovation feasibility, carrying out farmland
protection forest identification training classification through a
random forest (RF) model and additionally fusing a characteristic
wave band and an index
wave band, and carrying out farmland protection forest identification training classification. The
classification result and the field boundary range are overlapped,
mask operation is applied to extract and obtain the distribution position information of the farmland protection forests, the spectral characteristics of the farmland protection forests are highlighted according to the extraction requirements, the distinguishing degree between the farmland protection forests and other ground objects is enhanced, and the method is suitable for generalization in various environments.