测绘通报 ›› 2023, Vol. 0 ›› Issue (1): 141-144.doi: 10.13474/j.cnki.11-2246.2023.0023

• 技术交流 • 上一篇    下一篇

改正的盖度-坡度-OSAVI反演法的江西省草地资源盖度预测

曹庆安1, 涂梨平1,2, 冷鹏3   

  1. 1. 江西省核工业地质调查院, 江西 南昌 330031;
    2. 江西农业大学, 江西 南昌 330045;
    3. 江西核工业测绘院集团有限公司, 江西 南昌 330100
  • 收稿日期:2022-08-09 修回日期:2022-11-21 发布日期:2023-02-08
  • 通讯作者: 涂梨平。E-mail:21924581@qq.com
  • 作者简介:曹庆安(1984-),男,硕士,高级工程师,研究方向为遥感、地理信息及相关数据处理。E-mail:61469032@qq.com
  • 基金资助:
    江西省重点研发计划(20201BBG71001);南昌市重大科技攻关项目(洪科字〔2022〕104号);南昌市科技创新人才“双百计划”创新团队(培养类)(洪科字〔2021〕156号)

Prediction of grassland resource coverage in Jiangxi province using modified coverage slope osavi inversion method

CAO Qing'an1, TU Liping1,2, LENG Peng3   

  1. 1. Jiangxi Nuclear Industry Geological Survey, Nanchang 330031, China;
    2. Jiangxi Agricultural University, Nanchang 330045, China;
    3. Jiangxi Nuclear Industry Surveying and Mapping Institute Group Co., Ltd., Nanchang 330100, China
  • Received:2022-08-09 Revised:2022-11-21 Published:2023-02-08

摘要: 草地资源调查中盖度具有较为直接的代表性,目前对盖度的调查以人工实地调查为主。针对大区域的实地调查投入大、周期长等问题,本文以Landsat 8、ASTER GDEM影像、地理国情普查中草地图斑及134个实地样地调查数据的盖度数据为数据源,通过提取坡度数据、选取74个实地样点盖度调查数据及优化的土壤调节植被指数(OSAVI),建立相关模型,对研究区的草地资源的盖度进行反演,形成全域草地盖度灰度值图斑分布图。对60个实地调查的样地盖度与反演盖度进行误差分析,最终显示反演盖度与实地盖度高度一致。

关键词: 盖度, 坡度, OSAVI, 反演, 草地

Abstract: The coverage of Jiangxi province's grassland resource coverage prediction based on the modified coverage slope OSAVI inversion method has a relatively direct representativeness in the grassland resource survey. At present, the coverage survey is mainly manual field survey. Aiming at the problems of large regional field survey investment and long cycle, this paper uses the coverage data of Landsat 8, ASTER GDEM images, grassland map spots in the geographical national conditions census and 134 field sample survey data as the data source.Through the extraction of slope data, the coverage survey data of 74 field sample points and the optimized soil regulated vegetation index (OSAVI), the relevant model is established, and the coverage of grassland resources in the study area is inversed to form the distribution map of the gray value of grassland coverage in the whole region. The error analysis of 60 field survey sample plots' coverage and inversion coverage shows that the inversion coverage is highly consistent with the field coverage.

Key words: coverage, slope, OSAVI, inversion, grassland

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