Recent advances in space-borne optical remote sensing systems for monitoring global terrestrial ecosystems

被引:60
作者
Dash, Jadunandan [1 ]
Ogutu, Booker O. [1 ]
机构
[1] Univ Southampton, Southampton SO9 5NH, Hants, England
来源
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT | 2016年 / 40卷 / 02期
关键词
Optical remote sensing; Nano satellites; Sentinel missions; ecosystem; LEAF-AREA INDEX; GROSS PRIMARY PRODUCTIVITY; NET PRIMARY PRODUCTION; LIGHT-USE EFFICIENCY; PHOTOCHEMICAL REFLECTANCE INDEX; CO2 FLUX MEASUREMENTS; MAPPING LAND-COVER; BURNED AREA; EARTH OBSERVATION; VEGETATION INDEX;
D O I
10.1177/0309133316639403
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Since the launch of the first Landsat satellite in the early 1970s, the field of space-borne optical remote sensing has made significant progress. Advances have been made in all aspects of optical remote sensing data, including improved spatial, temporal, spectral and radiometric resolutions, which have increased the uptake of these data by wider scientific communities. Flagship satellite missions such as NASA's Terra and Aqua and ESA's Envisat with their high temporal (<3days) and spectral (15-36 bands) resolutions opened new opportunities for routine monitoring of various aspects of terrestrial ecosystems at the global scale and have provided greater understanding of critical biophysical processes in the terrestrial ecosystem. The launch of new satellite sensors such as Landsat 8 and the European Space Agency's Copernicus Sentinel missions (e.g. Sentinel 2 with improved spatial resolution (10-60 m) and potential revisit time of five days) is set to revolutionise the availability and use of remote sensing data in global terrestrial ecosystem monitoring. Furthermore, the recent move towards use of constellations of nanosatellites (e.g. the Flock missions by Planet Labs) to collect on-demand high spatial and temporal resolution optical remote sensing data would enable uptake of these data for operational monitoring. As a result of increase in data availability, optical remote sensing data are now increasingly used to support a number of operational services (e.g. land monitoring, atmosphere monitoring and climate change studies). However, many challenges still remain in exploiting the growing volume of optical remote sensing data to monitor global terrestrial ecosystems. These challenges include ensuring the highest data quality both in terms of the sensitivity of sensors and the derived biophysical products, affordability and availability of the data and continuity of data acquisition. This review provides an overview of the developments in space-borne optical remote sensing in the past decade and discusses a selection of aspects of global terrestrial ecosystems where the data are currently used. It concludes by highlighting some of the challenges and opportunities of using optical remote sensing data in monitoring global terrestrial ecosystems.
引用
收藏
页码:322 / 351
页数:30
相关论文
共 172 条
[61]  
GIGLIO L., 2020, Collection 6 MODIS Burned Area Product User's Guide Version 1.3
[62]   An active-fire based burned area mapping algorithm for the MODIS sensor [J].
Giglio, Louis ;
Loboda, Tatiana ;
Roy, David P. ;
Quayle, Brad ;
Justice, Christopher O. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (02) :408-420
[63]   Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors [J].
Giglio, Louis ;
Csiszar, Ivan ;
Justice, Christopher O. .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2006, 111 (G2)
[64]   Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4) [J].
Giglio, Louis ;
Randerson, James T. ;
van der Werf, Guido R. .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2013, 118 (01) :317-328
[65]   Synoptic monitoring of gross primary productivity of maize using Landsat data [J].
Gitelson, Anatoly A. ;
Vina, Andres ;
Masek, Jeffrey G. ;
Verma, Shashi B. ;
Suyker, Andrew E. .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2008, 5 (02) :133-137
[66]  
Gleyzes JP, 2003, INT GEOSCI REMOTE SE, P300
[67]   Three decades of hyperspectral remote sensing of the Earth: A personal view [J].
Goetz, Alexander F. H. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 :S5-S16
[68]   Modelling terrestrial carbon exchange and storage: Evidence and implications of functional convergence in light-use efficiency [J].
Goetz, SJ ;
Prince, SD .
ADVANCES IN ECOLOGICAL RESEARCH, VOL 28, 1999, 28 :57-92
[69]   Satellite remote sensing of primary production: an improved production efficiency modeling approach [J].
Goetz, SJ ;
Prince, SD ;
Goward, SN ;
Thawley, MM ;
Small, J .
ECOLOGICAL MODELLING, 1999, 122 (03) :239-255
[70]   Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data [J].
Gong, Peng ;
Wang, Jie ;
Yu, Le ;
Zhao, Yongchao ;
Zhao, Yuanyuan ;
Liang, Lu ;
Niu, Zhenguo ;
Huang, Xiaomeng ;
Fu, Haohuan ;
Liu, Shuang ;
Li, Congcong ;
Li, Xueyan ;
Fu, Wei ;
Liu, Caixia ;
Xu, Yue ;
Wang, Xiaoyi ;
Cheng, Qu ;
Hu, Luanyun ;
Yao, Wenbo ;
Zhang, Han ;
Zhu, Peng ;
Zhao, Ziying ;
Zhang, Haiying ;
Zheng, Yaomin ;
Ji, Luyan ;
Zhang, Yawen ;
Chen, Han ;
Yan, An ;
Guo, Jianhong ;
Yu, Liang ;
Wang, Lei ;
Liu, Xiaojun ;
Shi, Tingting ;
Zhu, Menghua ;
Chen, Yanlei ;
Yang, Guangwen ;
Tang, Ping ;
Xu, Bing ;
Giri, Chandra ;
Clinton, Nicholas ;
Zhu, Zhiliang ;
Chen, Jin ;
Chen, Jun .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (07) :2607-2654