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1. Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

Author:
Zhu, Zhe; Woodcock, Curtis E.; Holden, Christopher; Yang, Zhiqiang
Source:
Remote sensing of environment 2015 v.162 pp. 67-83
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; land cover; models; prediction; reflectance; remote sensing; snow; time series analysis; United States;     Show all 10 Subjects
Abstract:
... A new algorithm for generating synthetic Landsat images is developed based on all available Landsat data. This algorithm is capable of predicting Landsat surface reflectance for any desired date. It first excludes cloud, cloud shadow, and snow observations, and then uses the remaining clear observations to estimate time series models for each Landsat pixel. Three time series models (a simple model ...
DOI:
10.1016/j.rse.2015.02.009
CHORUS:
10.1016/j.rse.2015.02.009

2. Development of a global ~90m water body map using multi-temporal Landsat images

Author:
Yamazaki, Dai; Trigg, Mark A.; Ikeshima, Daiki
Source:
Remote sensing of environment 2015 v.171 pp. 337-351
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; biogeochemistry; climate; databases; floodplains; ice; lakes; remote sensing; rivers; shorelines; snow; surface water; surveys; Japan; United States;     Show all 16 Subjects
Abstract:
... This paper describes the development of a Global 3arc-second Water Body Map (G3WBM), using an automated algorithm to process multi-temporal Landsat images from the Global Land Survey (GLS) database. We used 33,890 scenes from 4 GLS epochs in order to delineate a seamless water body map, without cloud and ice/snow gaps. Permanent water bodies were distinguished from temporal water-covered areas by ...
DOI:
10.1016/j.rse.2015.10.014

3. Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems

Author:
Braaten, Justin D.; Cohen, Warren B.; Yang, Zhiqiang
Source:
Remote sensing of environment 2015 v.169 pp. 128-138
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; digital elevation models; ecosystems; ice; image analysis; land cover; lighting; radiometry; remote sensing; snow; spectral analysis; thematic maps; time series analysis; United States;     Show all 15 Subjects
Abstract:
... Automated cloud and cloud shadow identification algorithms designed for Landsat Thematic Mapper (TM) and Thematic Mapper Plus (ETM+) satellite images have greatly expanded the use of these Earth observation data by providing a means of including only clear-view pixels in image analysis and efficient cloud-free compositing. In an effort to extend these capabilities to Landsat Multispectal Scanner ( ...
DOI:
10.1016/j.rse.2015.08.006
Chorus Open Access:
10.1016/j.rse.2015.08.006

4. An approach for evaluating the impact of gaps and measurement errors on satellite land surface phenology algorithms: Application to 20year NOAA AVHRR data over Canada

Author:
Kandasamy, Sivasathivel; Fernandes, Richard
Source:
Remote sensing of environment 2015 v.164 pp. 114-129
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Earth Observing System; climate change; ecosystems; normalized difference vegetation index; phenology; radiometry; remote sensing; satellites; seasonal variation; time series analysis; uncertainty; Canada; United States;     Show all 14 Subjects
Abstract:
... Land surface phenology (LSP) is directly related to seasonal variations in the condition of vegetated land surfaces and hence is an important indicator for studying the effect of climate change on ecosystems. Satellite data is widely used to monitor LSP over regional to global extents. Currently, there are many algorithms for generating satellite based LSP products. The Committee of Earth Observin ...
DOI:
10.1016/j.rse.2015.04.014

5. Diffuse attenuation coefficient of the photosynthetically available radiation Kd(PAR) for global open ocean and coastal waters

Author:
Son, SeungHyun; Wang, Menghua
Source:
Remote sensing of environment 2015 v.159 pp. 250-258
ISSN:
0034-4257
Subject:
algorithms,   etc   ; coastal water; coasts; color; databases; ecosystems; image analysis; light intensity; models; moderate resolution imaging spectroradiometer; oceans; photosynthetically active radiation; remote sensing; satellites; wavelengths; United States;     Show all 16 Subjects
Abstract:
... Satellite-based observations of the diffuse attenuation coefficient for the downwelling spectral irradiance at the wavelength of 490nm, Kd(490) and the diffuse attenuation coefficient for the downwelling photosynthetically available radiation (PAR), Kd(PAR) in the ocean can play important roles for ocean–atmospheric circulation, biogeochemical, and ecosystem models. Since existing Kd(PAR) models f ...
DOI:
10.1016/j.rse.2014.12.011

6. Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA

Author:
Kennedy, Robert E.; Yang, Zhiqiang; Braaten, Justin; Copass, Catharine; Antonova, Natalya; Jordan, Chris; Nelson, Peder
Source:
Remote sensing of environment 2015 v.166 pp. 271-285
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; altitude; artificial intelligence; conservation areas; data collection; fish; forest management; forests; habitats; humans; landscape position; landscapes; monitoring; prediction; remote sensing; statistical models; time series analysis; urbanization; watersheds; Puget Sound; United States;     Show all 22 Subjects
Abstract:
... To understand causes and consequences of landscape change, it is often not enough to simply detect change. Rather, the agent causing the change must also be determined. Here, we describe and test a method of change agent attribution built on four tenets: agents operate on patches rather than pixels; temporal context can provide insight into the agent of change; human interpretation is critical bec ...
DOI:
10.1016/j.rse.2015.05.005

7. A global comparison of alternate AMSR2 soil moisture products: Why do they differ?

Author:
Kim, Seokhyeon; Liu, Yi.Y.; Johnson, Fiona M.; Parinussa, Robert M.; Sharma, Ashish
Source:
Remote sensing of environment 2015 v.161 pp. 43-62
ISSN:
0034-4257
Subject:
algorithms,   etc   ; National Aeronautics and Space Administration; correlation; data collection; global change; microwave radiometers; models; remote sensing; satellites; seasonal variation; soil water; spatial variation; surface roughness; surface temperature; time series analysis; Africa; Australia; Europe; Japan; United States;     Show all 20 Subjects
Abstract:
... This study assesses two remotely sensed soil moisture products from the Advanced Microwave Scanning Radiometer 2 (AMSR2), a sensor onboard the Global Change Observation Mission 1 — Water (GCOM-W1) that was launched in May 2012. The soil moisture products were retrieved by the Japan Aerospace Exploration Agency (JAXA) algorithm and the Land Parameter Retrieval Model (LPRM) developed by the VU Unive ...
DOI:
10.1016/j.rse.2015.02.002