Zhihai Gao, Bin Sun, G. Barrio, Xiaosong Li, Hongyan Wang, L. Bai, Bengyu Wang, Wangfei Zhang
{"title":"2001-2010年内蒙古土地退化评价","authors":"Zhihai Gao, Bin Sun, G. Barrio, Xiaosong Li, Hongyan Wang, L. Bai, Bengyu Wang, Wangfei Zhang","doi":"10.1109/IGARSS.2014.6946709","DOIUrl":null,"url":null,"abstract":"Land degradation in Inner Mongolia, China is much severe. Remote sensing application on land degradation assessment can provide scientific basis for land degradation prevention in the study area. In this paper, land degradation was assessed by applying two improved relative Rain Use Efficiency (RUE) indicators based on time series MODIS NDVI data and high-resolution meteorological data from 2001 to 2010. The results show that 76.74% land of the whole study area with good or unusually good condition, it indicates that the most areas have normal or good vegetation production capacity. The unusually degraded and degraded lands account for 11.94% of the study area, especially they are less degraded lands distributing in Beijing and Tianjin sandstorm source region within the Inner Mongolia, it indicates that some ecological engineering projects implemented in this area have achieved significantly for restoration of degraded ecosystems in recent 10 years.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Land degradation assessment by applying relative rue in Inner Mongolia, China, 2001–2010\",\"authors\":\"Zhihai Gao, Bin Sun, G. Barrio, Xiaosong Li, Hongyan Wang, L. Bai, Bengyu Wang, Wangfei Zhang\",\"doi\":\"10.1109/IGARSS.2014.6946709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Land degradation in Inner Mongolia, China is much severe. Remote sensing application on land degradation assessment can provide scientific basis for land degradation prevention in the study area. In this paper, land degradation was assessed by applying two improved relative Rain Use Efficiency (RUE) indicators based on time series MODIS NDVI data and high-resolution meteorological data from 2001 to 2010. The results show that 76.74% land of the whole study area with good or unusually good condition, it indicates that the most areas have normal or good vegetation production capacity. The unusually degraded and degraded lands account for 11.94% of the study area, especially they are less degraded lands distributing in Beijing and Tianjin sandstorm source region within the Inner Mongolia, it indicates that some ecological engineering projects implemented in this area have achieved significantly for restoration of degraded ecosystems in recent 10 years.\",\"PeriodicalId\":385645,\"journal\":{\"name\":\"2014 IEEE Geoscience and Remote Sensing Symposium\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2014.6946709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2014.6946709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
中国内蒙古的土地退化非常严重。遥感在土地退化评价中的应用可为研究区土地退化防治提供科学依据。本文基于2001 ~ 2010年MODIS NDVI时间序列数据和高分辨率气象数据,采用改进的RUE (relative Rain Use Efficiency)指标对土地退化进行了评价。结果表明,整个研究区76.74%的土地状况良好或异常良好,表明大部分地区具有正常或良好的植被生产能力。异常退化和退化土地占研究区面积的11.94%,特别是分布在内蒙京津风沙源区的退化程度较低的土地,说明近10年来在该区域实施的一些生态工程项目在恢复退化生态系统方面取得了显著成效。
Land degradation assessment by applying relative rue in Inner Mongolia, China, 2001–2010
Land degradation in Inner Mongolia, China is much severe. Remote sensing application on land degradation assessment can provide scientific basis for land degradation prevention in the study area. In this paper, land degradation was assessed by applying two improved relative Rain Use Efficiency (RUE) indicators based on time series MODIS NDVI data and high-resolution meteorological data from 2001 to 2010. The results show that 76.74% land of the whole study area with good or unusually good condition, it indicates that the most areas have normal or good vegetation production capacity. The unusually degraded and degraded lands account for 11.94% of the study area, especially they are less degraded lands distributing in Beijing and Tianjin sandstorm source region within the Inner Mongolia, it indicates that some ecological engineering projects implemented in this area have achieved significantly for restoration of degraded ecosystems in recent 10 years.