An Integrated Method for Reconstructing Daily MODIS Land Surface Temperature Data

遥感 计算机科学 环境科学 地质学
作者
Gang Yang,Weiwei Sun,Huanfeng Shen,Xiangchao Meng,Jialin Li
出处
期刊:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [Institute of Electrical and Electronics Engineers]
卷期号:12 (3): 1026-1040 被引量:27
标识
DOI:10.1109/jstars.2019.2896455
摘要

Land surface temperature (LST) is a critical parameter in land surface process. The Moderate Resolution Imaging Spectroradiometer (MODIS) can be used to generate various LST data products, and these data have been widely applied in many studies. Unfortunately, cloud contamination brings about numerous missing or abnormal values, which negatively affect the application of LST data. To reconstruct missing values and improve data quality, this paper proposes an integrated method for reconstructing LST data under two conditions: Clear sky and cloudy sky. For the clear-sky condition, the MODIS eight-day LST (MOD11A2) product is used to be interpolated into the low-quality daily LST dataset using the harmonic analysis of time series (HANTS) algorithm. And then the linear regression algorithm is implemented on the original good-quality pixels of the MODIS daily LST (MOD11A1) product. After that, seamless processing on the reconstructed low-quality daily LST dataset is carried using the Poisson image editing method, and finally the high-quality daily LST dataset under clear-sky condition are then obtained. For the cloudy-sky conditions, the revised neighboring-pixel (NP) algorithm that originates from the surface energy balance theory is used to reconstruct the real LST data. To evaluate the reconstruction performance under clear-sky condition, a simulated dataset is generated from simulated missing pixels with good quality that are randomly chosen from 98 available LST images in the year 2010. Meanwhile, the real LST measurements collected from ground sites are used to assess the reconstructed results under cloudy-sky condition. Satisfactory validation results show that the proposed integrated method effectively reconstructs the missing information and low-quality pixels caused by cloud cover and other factors. The filled data can seamlessly preserve the temporal and spatial consistence of the daily LST data, which do promote the practical utility of the MODIS LST product.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
利莫里亚发布了新的文献求助10
1秒前
滴答完成签到,获得积分10
1秒前
2秒前
2秒前
朴素的书琴完成签到,获得积分10
2秒前
隐形的芷卉完成签到,获得积分10
2秒前
LH完成签到,获得积分20
3秒前
可可发布了新的文献求助10
3秒前
悠木完成签到 ,获得积分10
4秒前
kk应助邢范雨采纳,获得30
4秒前
4秒前
5秒前
着急的豁发布了新的文献求助10
5秒前
6秒前
WS发布了新的文献求助10
6秒前
红衣落花倾城完成签到,获得积分10
6秒前
dzl完成签到,获得积分20
6秒前
planto完成签到,获得积分10
6秒前
马博的司机完成签到,获得积分10
6秒前
mojibunny完成签到,获得积分10
7秒前
虚心抽屉发布了新的文献求助10
7秒前
智勇双全完成签到,获得积分10
8秒前
8秒前
张津浩完成签到,获得积分10
8秒前
科目三应助liyuxuan采纳,获得10
9秒前
三国金风发布了新的文献求助10
10秒前
Shan5完成签到,获得积分10
10秒前
Akim应助六月的雨采纳,获得10
10秒前
所愿所得应助可可采纳,获得10
10秒前
猪猪hero发布了新的文献求助10
10秒前
11秒前
一人完成签到,获得积分10
11秒前
小桑桑完成签到,获得积分10
11秒前
爆米花应助yesir采纳,获得10
12秒前
12秒前
JamesPei应助从容听南采纳,获得10
12秒前
为霄完成签到 ,获得积分10
12秒前
13秒前
国服懒羊羊完成签到,获得积分10
13秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Aspects of Babylonian celestial divination : the lunar eclipse tablets of enuma anu enlil 1500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3450872
求助须知:如何正确求助?哪些是违规求助? 3046418
关于积分的说明 9006243
捐赠科研通 2735111
什么是DOI,文献DOI怎么找? 1500185
科研通“疑难数据库(出版商)”最低求助积分说明 693426
邀请新用户注册赠送积分活动 691664