2020年中西亚30m Landsat TM/OLI土壤盐渍化分布数据集
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资源简介:
该土壤盐渍化产品覆盖范围涵盖中亚五国、西亚土耳其、阿富汗及伊朗全境,该产品使用Landsat、SPOT数据遥感数据解译得到,其中大部分区域使用Landsat数据,部分重点监测区域采用SPOT数据进行补充,利用多源、多时相遥感影像,结合遥感参数、地形地貌和自然环境因子,采用面向对象的遥感分类方法,应用影像分割、决策树分类、变化监测等关键技术完成。该2020年30米空间分辨率数据可用于中西亚盐渍化时空变化分析及资源利用评估,可为农牧业、林业、环境保护、水资源保护、环境保护等政府相关部门的规划与管理提供基础信息。
This soil salinization product covers the five Central Asian countries, as well as the entire territories of Turkey, Afghanistan and Iran in West Asia. It is generated via the interpretation of multi-source remote sensing data including Landsat and SPOT: Landsat data is applied to most regions, while SPOT data is used to supplement the monitoring of key priority areas. The product is developed using multi-source and multi-temporal remote sensing imagery, combined with remote sensing-derived parameters, topographic and geomorphic features, and natural environmental factors, through object-oriented remote sensing classification methods and core technologies including image segmentation, decision tree classification and change detection. This 30-meter spatial resolution dataset from 2020 can be employed for spatio-temporal change analysis of soil salinization in Central and West Asia and resource utilization assessment, providing basic information for the planning and management of relevant government departments in sectors such as agriculture, animal husbandry, forestry, environmental protection and water resources conservation.
提供机构:
中国科学院新疆生态与地理研究所
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是2020年中西亚地区的土壤盐渍化分布产品,覆盖中亚五国、西亚土耳其、阿富汗及伊朗全境,采用30米空间分辨率的Landsat TM/OLI和SPOT遥感数据,通过多源、多时相影像结合环境因子,应用面向对象的分类方法生成。它主要用于盐渍化时空变化分析和资源评估,为农牧业、环境保护等部门的规划管理提供基础信息。
以上内容由遇见数据集搜集并总结生成



