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Method for identifying large-scale vegetation degeneration area by remote sensing

A remote sensing recognition, large-scale technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as time-consuming, unsuitable vegetation dynamic change monitoring, degradation tracking and quantitative analysis, and low efficiency. The effect of objective identification

Inactive Publication Date: 2014-05-07
NANJING INST OF GEOGRAPHY & LIMNOLOGY
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Problems solved by technology

Most of the traditional research methods are on-the-spot investigations, which are time-consuming and inefficient, and are especially unsuitable for large- and medium-scale long-term vegetation dynamic change monitoring, degradation tracking and quantitative analysis

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  • Method for identifying large-scale vegetation degeneration area by remote sensing
  • Method for identifying large-scale vegetation degeneration area by remote sensing
  • Method for identifying large-scale vegetation degeneration area by remote sensing

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Embodiment Construction

[0026] The Qiandao Lake Basin is an important surface water source in my country, and its regional vegetation growth is of great significance to the ecological environment quality of the water source. Accurate and objective identification of vegetation degraded areas can provide data support for water source protection. The following is an example analysis of this area:

[0027] Step 1 Data download and preprocessing

[0028] 1) Download the MOD13Q1 data covering the watersheds with row numbers 28 / 5 and 28 / 6 from the NASA website (http: / / reverb.echo.nasa.gov / reverb), and the time is from 2001 to 2013, a total of 13 years 598 period data. MRT software is used for format conversion and projection conversion, Hdf format is converted to Geotiff format, and Sinusoidal projection is converted to WGS84 / Albers Equal Area Conic projection.

[0029] 2) Apply ENVI software to mosaic and stitch MODIS data, and use the vector file of the study area to generate the region of interest for ...

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Abstract

The invention discloses a method for identifying a large-scale vegetation degeneration area by remote sensing. The method comprises the following steps: 1) obtaining an MODIS time-serial vegetation index product data set MOD13Q1, and performing format and projection transformation; 2) performing splicing and clipping on the MODIS data, and synthesizing 16d NDVI data into a monthly NDVI value; 3) using an averaging method to obtain the average NDVI data year by year; 4) using the least square method to perform trend analysis on the independent variable time data and the dependent variable NDVI data; 5) using an Mann-Kendall nonparametric statistical test method to judge the significance of the trend; 6) performing overlay analysis on the results of trend analysis and the significance test results, so as to obtain NDVI changing trend data of a pixel scale, and dividing the results into a serious degradation area, a slight degradation area, a stable area, a slightly improved area and a significantly improved area; 7) counting a ratio of the space distribution to the area of each changing area based on the ArcGIS spatial analysis function, and performing driving factor analysis with the transportation network, the distribution of population, land use and other outside interferences at the same time.

Description

technical field [0001] The invention relates to the technical field of identifying large-scale vegetation degradation areas based on ENVI image processing software and ArcGIS spatial analysis software using long-time sequence MODIS remote sensing data. Background technique [0002] Vegetation, as the main land cover type on land, is the natural link connecting the atmosphere, soil and water, and plays a very important role in soil and water conservation, material and energy cycling, and maintaining ecosystem stability. The rapid, accurate and objective identification of large-scale vegetation degradation areas can provide data support for the targeted adoption of corresponding programs and measures, and can also provide positive and negative feedback and ecological environment quality evaluation under the background of climate change and human disturbance. provide technical support. Most of the traditional research methods are on-the-spot investigations, which are time-cons...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/00
CPCG06V20/188
Inventor 汤旭光李恒鹏
Owner NANJING INST OF GEOGRAPHY & LIMNOLOGY