Determination of the Earth's emissivity for use in studies of global climate change

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615833

D. Stephenson-Hawk, K. Stevens, A. Shah

{"title":"Determination of the Earth's emissivity for use in studies of global climate change","authors":"D. Stephenson-Hawk, K. Stevens, A. Shah","doi":"10.1109/IGARSS.1997.615833","DOIUrl":null,"url":null,"abstract":"A four-dimensional data assimilation program is being developed which uses measurements of the emissivity of vegetation canopies to define the Earth's surface temperature from remotely sensed measurements of radiance. Currently, there exists a paucity of data defining vegetative emissivity. The need for vegetative emissivity measurements in determining the global surface temperature from satellite radiances is established. The sensitivity of the radiance inversions to these data, however, is yet to be determined. The approach used to define the sensitivity of the inversion algorithms is presented. Provided also is the testbed developed to explore this sensitivity. A method to determine global surface temperatures given satellite radiance's and ground cover mosaics obtained from Landsat and Advanced High Resolution Radiometer (AVHRR) measurements using this sensitivity analysis is being investigated as part of this on-going study. A testbed and computer simulation to explore this sensitivity have been developed and tested. The satellite-infrared temperatures will be compared with canopy temperatures (in situ measurements) measured at ambient conditions away from direct sunlight exposure. Given this comparison, the accuracy of global maps of surface temperature obtained from satellite measurements of radiance can be defined when coupled with measurements of soil moisture and the known morphology of the vegetation.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"8 1","pages":"180-183 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.615833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

A four-dimensional data assimilation program is being developed which uses measurements of the emissivity of vegetation canopies to define the Earth's surface temperature from remotely sensed measurements of radiance. Currently, there exists a paucity of data defining vegetative emissivity. The need for vegetative emissivity measurements in determining the global surface temperature from satellite radiances is established. The sensitivity of the radiance inversions to these data, however, is yet to be determined. The approach used to define the sensitivity of the inversion algorithms is presented. Provided also is the testbed developed to explore this sensitivity. A method to determine global surface temperatures given satellite radiance's and ground cover mosaics obtained from Landsat and Advanced High Resolution Radiometer (AVHRR) measurements using this sensitivity analysis is being investigated as part of this on-going study. A testbed and computer simulation to explore this sensitivity have been developed and tested. The satellite-infrared temperatures will be compared with canopy temperatures (in situ measurements) measured at ambient conditions away from direct sunlight exposure. Given this comparison, the accuracy of global maps of surface temperature obtained from satellite measurements of radiance can be defined when coupled with measurements of soil moisture and the known morphology of the vegetation.

查看原文本刊更多论文

测定地球辐射率，用于研究全球气候变化

目前正在开发一个四维数据同化程序，该程序利用植被冠层的发射率测量来确定遥感辐射测量的地球表面温度。目前，缺乏定义植物辐射率的数据。通过卫星辐射确定全球地表温度需要植物辐射率测量。然而，亮度反演对这些数据的敏感性还有待确定。给出了确定反演算法灵敏度的方法。还提供了为探索这种敏感性而开发的试验台。根据Landsat和先进高分辨率辐射计(AVHRR)测量的卫星辐射和地面覆盖马赛克，利用这种灵敏度分析，确定全球地表温度的方法正在作为这项正在进行的研究的一部分进行研究。已经开发并测试了一个试验台和计算机模拟来探索这种灵敏度。卫星红外温度将与在远离阳光直射的环境条件下测量的冠层温度(原位测量)进行比较。鉴于这种比较，当与土壤湿度和已知植被形态的测量相结合时，可以确定从卫星辐射测量获得的全球地表温度图的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

遥感信息

自引率

0.00%

发文量

3984

期刊介绍： Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.