Remote Sensing of Environment, Journal Year: 2015, Volume and Issue: 162, P. 67 - 83
Published: March 5, 2015
Language: Английский
Remote Sensing of Environment, Journal Year: 2015, Volume and Issue: 159, P. 269 - 277
Published: Jan. 9, 2015
Language: Английский
Citations
1324
ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2016, Volume and Issue: 116, P. 55 - 72
Published: March 23, 2016
Accurate land cover information is required for science, monitoring, and reporting. Land changes naturally over time, as well a result of anthropogenic activities. Monitoring mapping change in consistent robust manner large areas made possible with Earth Observation (EO) data. products satisfying range science policy needs are currently produced periodically at different spatial temporal scales. The increased availability EO data—particularly from the Landsat archive (and soon to be augmented Sentinel-2 data)—coupled improved computing storage capacity novel image compositing approaches, have resulted annual, large-area, gap-free, surface reflectance data products. In turn, these support development annual that can both informed constrained by detection outputs. inclusion time series process provides on class stability informs logical transitions (both temporally categorically). this review, we present issues opportunities associated generating validating time-series products, identify methods suited incorporating other inputs characterization.
Language: Английский
Citations
1055
Remote Sensing of Environment, Journal Year: 2016, Volume and Issue: 185, P. 57 - 70
Published: Jan. 12, 2016
At over 40 years, the Landsat satellites provide longest temporal record of space-based land surface observations, and successful 2013 launch Landsat-8 is continuing this legacy. Ideally, data should be consistent sensor series. The Operational Land Imager (OLI) has improved calibration, signal to noise characteristics, higher 12-bit radiometric resolution, spectrally narrower wavebands than previous Landsat-7 Enhanced Thematic Mapper (ETM +). Reflective wavelength differences between two sensors depend also on reflectance atmospheric state which are difficult model comprehensively. orbit sensing geometries OLI ETM + swath edge overlapping paths sensed only one day apart. overlap regions in alternating backscatter forward scattering orientations so bi-directional effects evident but approximately balanced when large amounts time series considered. Taking advantage configuration a total 59 million 30 m corresponding observations extracted from 6317 images acquired three winter summer months for all conterminous United States (CONUS) compared. Results considering different stages cloud saturation filtering, filtering reduce differences, demonstrate importance appropriate per-pixel screening. Top atmosphere (TOA) atmospherically corrected visible, near infrared shortwave bands, derived normalized difference vegetation index (NDVI), compared their quantified. On average TOA greater with greatest near-infrared (NIR) bands due quite spectral response functions sensors. correction reduces mean NIR increases visible bands. Regardless whether or used generate NDVI, average, vegetated soil surfaces (0 ≤ NDVI 1), NDVI. Statistical transform comparable values presented that user community may apply them own research improve continuity data. transformation were developed using ordinary least squares (OLS) regression fit reliably (r2 > 0.7 0.9 data, p-values < 0.0001).
Language: Английский
Citations
1021
Remote Sensing of Environment, Journal Year: 2017, Volume and Issue: 194, P. 379 - 390
Published: April 12, 2017
Language: Английский
Citations
984
Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 225, P. 127 - 147
Published: March 11, 2019
Formal planning and development of what became the first Landsat satellite commenced over 50 years ago in 1967. Now, having collected earth observation data for well four decades since 1972 launch Landsat-1, program is increasingly complex vibrant. Critical programmatic elements are ensuring continuity high quality measurements scientific operational investigations, including ground systems, acquisition planning, archiving management, provision analysis ready products. Free open access to archival new imagery has resulted a myriad innovative applications novel insights. The future compatible satellites series, which maintain while incorporating technological advancements, an increased use data. Governments international agencies, among others, can now build expectation into given stream. International programs conventions (e.g., deforestation monitoring, climate change mitigation) empowered by systematically calibrated with expected further contributing existing multi-decadal record. breadth depth science have accelerated following Landsat-8, significant improvements quality. Herein, we describe developments institutional context unique ability meet needs national programs. We then present key trends that underpin many recent application follow-up more detailed thematically organized summaries. historical offered combined allows time series algorithms produce information on dynamics. Landsat-8 figured prominently these developments, as improved understanding calibration Following communication state science, outlook launches envisioned presented. Increased linkages between also made possible through mission continuity, such developing virtual constellation Sentinel-2. Successful create positive feedback loop—justifying encouraging current support Landsat.
Language: Английский
Citations
868
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2020, Volume and Issue: 13, P. 5326 - 5350
Published: Jan. 1, 2020
Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing which are not practical using common software packages desktop computing resources. In this regard, Google has developed a cloud platform, called Earth Engine (GEE), to effectively address the challenges big data analysis. particular, platform facilitates processing geo over large areas monitoring environment long periods time. Although was launched in 2010 proved its high potential different applications, it fully investigated utilized RS applications until recent years. Therefore, study aims comprehensively explore aspects GEE including datasets, functions, advantages/limitations, various applications. For purpose, 450 journal articles published 150 journals between January May 2020 were studied. It observed that Landsat Sentinel extensively by users. Moreover, supervised machine learning algorithms, such as Random Forest, more widely applied image classification tasks. also employed broad range Land Cover/land Use classification, hydrology, urban planning, natural disaster, climate analyses, processing. generally number publications significantly increased during past few years, is expected will be users from fields resolve their challenges.
Language: Английский
Citations
818
ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2017, Volume and Issue: 130, P. 370 - 384
Published: July 12, 2017
Language: Английский
Citations
724
Remote Sensing of Environment, Journal Year: 2015, Volume and Issue: 185, P. 271 - 283
Published: Dec. 3, 2015
Language: Английский
Citations
681
Journal of Geographical Sciences, Journal Year: 2018, Volume and Issue: 28(5), P. 547 - 562
Published: March 21, 2018
Language: Английский
Citations
652
Remote Sensing of Environment, Journal Year: 2014, Volume and Issue: 152, P. 217 - 234
Published: July 9, 2014
Language: Английский
Citations
500