Estimation method of water consumption in dry season of watershed vegetation ecosystem based on remote sensing

Abstract

The invention discloses a remote-sensing-based watershed vegetation ecological system dry season water consumption estimation method. The method comprises the following steps of data obtaining, wherein daily average rainfall, daily average snow cap thickness, normalized differential vegetation index ten-day value and daily average runoff data of a target watershed within at least one year and longitudes and latitudes of a study area are obtained; data division and format unification, wherein data format unification is performed on the five kinds of obtained data, and the data coverage range is converted into the study area; watershed vegetation dry season water consumption obtained through a graphing method. The vegetation ecological system dry season water consumption can be calculated through the watershed scale, and an existing gap is filled up.

Description

technical field [0001] The invention belongs to the technical field of hydrometrics, and relates to a method for estimating water consumption in dry seasons of watershed vegetation ecosystems based on remote sensing. Background technique [0002] Water is the source of life, the key to production, and the foundation of ecology. The maintenance of the natural environment and the sustainable development of human society are inseparable from water resources. However, many conditions such as climate and geography determine that the temporal and spatial distribution of water resources in my country is extremely uneven. Therefore, it is extremely important to rationally allocate and utilize water resources. In the supply and allocation of water resources, "allocation according to needs" is the basic principle. The best scale for water resource management is the basin or regional scale. The future water resource allocation plan for a region is usually calculated and formulated b...

AI Technical Summary

Problems solved by technology

These systems are mostly calculated based on individual plants or fields. Although the principle is simple, there are several serious problems: (1) The results are difficult to extend to large areas (such as watersheds, regions, etc.). (2) The calculation process introduces empirical parameters, lacks physical mechanism, and has low precision; (3) It is difficult to obtain input data; (4) The results of the calculation system cannot be verified

In addition, the existing system still has many defects such as single purpose of output results, long calculation time, difficulty in programming, etc.

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