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You searched for: Subject "algorithms" Remove constraint Subject: "algorithms" Journal Remote sensing of environment Remove constraint Journal: Remote sensing of environment Subject algorithms Remove constraint Subject: algorithms Subject digital elevation models Remove constraint Subject: digital elevation models
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1. A new approach for modeling near surface temperature lapse rate based on normalized land surface temperature data

Author:
Firozjaei, Mohammad Karimi; Fathololoumi, Solmaz; Alavipanah, Seyed Kazem; Kiavarz, Majid; Vaezi, Ali Reza; Biswas, Asim
Source:
Remote sensing of environment 2020 v.242 pp. 111746
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Landsat; angle of incidence; digital elevation models; land cover; moderate resolution imaging spectroradiometer; remote sensing; surface temperature; topography;     Show all 10 Subjects
Abstract:
... The modeling of Near-Surface Temperature Lapse Rate (NSTLR) is of great importance in various environmental applications. This study proposed a new approach for modeling the NSTLR based on the Normalized Land Surface Temperature (NLST). A set of remote sensing imagery including Landsat images, MODIS products, and ASTER Digital Elevation Model (DEM), land cover maps, and climatic data recorded in m ...
DOI:
10.1016/j.rse.2020.111746

2. Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery

Author:
Qiu, Shi; Zhu, Zhe; He, Binbin
Source:
Remote sensing of environment 2019 v.231 pp. 111205
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; automation; data collection; digital elevation models; ice; probability; remote sensing; snow; surface water; temperature; Polar Regions;     Show all 12 Subjects
Abstract:
... We developed the Function of mask (Fmask) 4.0 algorithm for automated cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 images. Three major innovative improvements were made as follows: (1) integration of auxiliary data, where Global Surface Water Occurrence (GSWO) data was used to improve the separation of land and water, and a global Digital Elevation Model (DEM) was used to normal ...
DOI:
10.1016/j.rse.2019.05.024

3. High-resolution DEM generation from spaceborne and terrestrial remote sensing data for improved volcano hazard assessment — A case study at Nevado del Ruiz, Colombia

Author:
Deng, Fanghui; Rodgers, Mel; Xie, Surui; Dixon, Timothy H.; Charbonnier, Sylvain; Gallant, Elisabeth A.; Velez, Cristian Mauricio López; Ordoñez, Milton; Malservisi, Rocco; Voss, Nicholas K.; Richardson, Jacob A.
Source:
Remote sensing of environment 2019
ISSN:
0034-4257
Subject:
algorithms,   etc   ; case studies; cloud cover; data collection; digital elevation models; hazard characterization; interferometry; landscapes; photography; radar; remote sensing; rivers; satellites; spatial data; volcanoes; Colombia;     Show all 16 Subjects
Abstract:
... Volcanoes with rugged terrain remain a challenging target for generating high-resolution digital elevation models (DEMs), especially in tropical areas with frequent cloud cover. Using Nevado del Ruiz volcano as an example, we combined DEMs from the TanDEM-X (TDX) satellite mission, terrestrial radar interferometry (TRI), and Structure from Motion (SfM), to generate a new DEM with 10-m spatial reso ...
DOI:
10.1016/j.rse.2019.111348

4. Downscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau

Author:
Wei, Zushuai; Meng, Yizhuo; Zhang, Wen; Peng, Jian; Meng, Lingkui
Source:
Remote sensing of environment 2019 v.225 pp. 30-44
ISSN:
0034-4257
Subject:
algorithms,   etc   ; decision support systems; digital elevation models; moderate resolution imaging spectroradiometer; radar; regression analysis; remote sensing; satellites; soil water; vegetation; China;     Show all 11 Subjects
Abstract:
... The Soil Moisture Active Passive (SMAP) satellite can no longer directly deliver high-resolution (9 km) soil moisture products with the failure of the onboard L-band radar. Thus, an appropriate replacement sensor and new algorithms are urgently needed to compensate for the lost radar and estimate soil moisture at high-resolution. This paper presents a new downscaling approach, the Downscaling basE ...
DOI:
10.1016/j.rse.2019.02.022

5. Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images

Author:
Qiu, Shi; He, Binbin; Zhu, Zhe; Liao, Zhanmang; Quan, Xingwen
Source:
Remote sensing of environment 2017
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; digital elevation models; reflectance; remote sensing; temperature; topography;     Show all 7 Subjects
Abstract:
... We developed a new algorithm called MFmask (Mountainous Fmask) for automated cloud and cloud shadow detection for Landsats 4–8 images acquired in mountainous areas. The MFmask algorithm, built upon the success of the Fmask algorithm (Zhu and Woodcock, 2012; Zhu et al., 2015), is designed for cloud and cloud shadow detection in mountainous areas, where the Fmask algorithm is not performing well. Th ...
DOI:
10.1016/j.rse.2017.07.002

6. Rigorous 3D change determination in Antarctic Peninsula glaciers from stereo WorldView-2 and archival aerial imagery

Author:
Fieber, Karolina D.; Mills, Jon P.; Miller, Pauline E.; Clarke, Lucy; Ireland, Louise; Fox, Adrian J.
Source:
Remote sensing of environment 2018 v.205 pp. 18-31
ISSN:
0034-4257
Subject:
algorithms,   etc   ; aerial photography; data collection; digital elevation models; glaciers; islands; photogrammetry; remote sensing; satellites; sea level; Antarctic region; Antarctica;     Show all 12 Subjects
Abstract:
... This paper presents detailed elevation and volume analysis of 16 individual glaciers, grouped at four locations, spread across the Antarctic Peninsula (AP). The study makes use of newly available WorldView-2 satellite stereo imagery to exploit the previously untapped value of archival stereo aerial photography. High resolution photogrammetric digital elevation models (DEMs) are derived to determin ...
DOI:
10.1016/j.rse.2017.10.042

7. The global forest/non-forest map from TanDEM-X interferometric SAR data

Author:
Martone, Michele; Rizzoli, Paola; Wecklich, Christopher; González, Carolina; Bueso-Bello, José-Luis; Valdo, Paolo; Schulze, Daniel; Zink, Manfred; Krieger, Gerhard; Moreira, Alberto
Source:
Remote sensing of environment 2018 v.205 pp. 352-373
ISSN:
0034-4257
Subject:
algorithms,   etc   ; data collection; deforestation; digital elevation models; forest maps; forest types; landscapes; microwave radiation; monitoring; mountains; remote sensing; spatial data; synthetic aperture radar; tree height;     Show all 14 Subjects
Abstract:
... In this paper we present the activities performed at the Microwaves and Radar Institute of the German Aerospace Center (DLR) to derive global forest/non-forest classification mosaics from interferometric synthetic aperture radar (InSAR) data acquired by the TanDEM-X mission. The data have been collected between 2011 and 2016 in bistatic stripmap single polarization (HH) mode, with the main goal of ...
DOI:
10.1016/j.rse.2017.12.002

8. Modified-INSAT Multi-Spectral Rainfall Algorithm (M-IMSRA) at climate region scale: Development and validation

Author:
Upadhyaya, Shruti; Ramsankaran, RAAJ
Source:
Remote sensing of environment 2016 v.187 pp. 186-201
ISSN:
0034-4257
Subject:
algorithms,   etc   ; arid zones; correlation; digital elevation models; hybrids; rain; remote sensing; topography; India;     Show all 9 Subjects
Abstract:
... The present article reports an improvement in the INSAT Multispectral Rainfall Algorithm which is currently operational in the Indian Meteorological Department (IMD). The proposed Modified-IMSRA (M-IMSRA) algorithm deviates from original IMSRA in two ways: first is by improvement in rain/no-rain area detection scheme using a Multi-Index Rain Detection (MIRD) index; second is based on the climate r ...
DOI:
10.1016/j.rse.2016.10.013

9. The glaciers climate change initiative: Methods for creating glacier area, elevation change and velocity products

Author:
Paul, Frank; Bolch, Tobias; Kääb, Andreas; Nagler, Thomas; Nuth, Christopher; Scharrer, Killian; Shepherd, Andrew; Strozzi, Tazio; Ticconi, Francesca; Bhambri, Rakesh; Berthier, Etienne; Bevan, Suzanne; Gourmelen, Noel; Heid, Torborg; Jeong, Seongsu; Kunz, Matthias; Lauknes, Tom Rune; Luckman, Adrian; Merryman Boncori, John Peter; Moholdt, Geir; Muir, Alan; Neelmeijer, Julia; Rankl, Melanie; VanLooy, Jeffrey; Van Niel, Thomas
Source:
Remote sensing of environment 2015 v.162 pp. 408-426
ISSN:
0034-4257
Subject:
algorithms,   etc   ; climate change; digital elevation models; glaciers; product quality; remote sensing; satellites;     Show all 7 Subjects
Abstract:
... Glaciers and their changes through time are increasingly obtained from a wide range of satellite sensors. Due to the often remote location of glaciers in inaccessible and high-mountain terrain, satellite observations frequently provide the only available measurements. Furthermore, satellite data provide observations of glacier characteristics that are difficult to monitor using ground-based measur ...
DOI:
10.1016/j.rse.2013.07.043

10. 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

11. A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics

Author:
Xu, Shiguang; Wu, Chaoyang; Wang, Li; Gonsamo, Alemu; Shen, Yan; Niu, Zheng
Source:
Remote sensing of environment 2015 v.162 pp. 119-140
ISSN:
0034-4257
Subject:
algorithms,   etc   ; atmospheric precipitation; data collection; digital elevation models; mountains; normalized difference vegetation index; rain gauges; regression analysis; remote sensing; satellites; spatial variation; topography; vegetation; China;     Show all 14 Subjects
Abstract:
... Remote sensing is an important tool to monitor precipitation over regions with sparse rain gauge networks. To provide high-resolution precipitation estimates over un-gauged areas, great efforts have been taken to downscale low-resolution satellite precipitation datasets using the Normalized Difference Vegetation Index (NDVI) and the Digital Elevation Model (DEM) based on the assumption that precip ...
DOI:
10.1016/j.rse.2015.02.024

12. Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico

Author:
Rodríguez-Veiga, Pedro; Saatchi, Sassan; Tansey, Kevin; Balzter, Heiko
Source:
Remote sensing of environment 2016 v.183 pp. 265-281
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Food and Agriculture Organization; biomass; carbon; carbon sinks; digital elevation models; forest inventory; forests; moderate resolution imaging spectroradiometer; probability distribution; radar; remote sensing; topography; trees; uncertainty; vegetation index; Mexico;     Show all 17 Subjects
Abstract:
... Existing forest biomass stock maps show discrepancies with in-situ observations in Mexico. Ground data from the National Forest and Soil Inventory of Mexico (INFyS) were used to calibrate a maximum entropy (MaxEnt) algorithm to generate forest biomass (AGB), its associated uncertainty, and forest probability maps. The input predictor layers for the MaxEnt algorithm were extracted from the moderate ...
DOI:
10.1016/j.rse.2016.06.004

13. High-resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles

Author:
Immerzeel, W.W.; Kraaijenbrink, P.D.A.; Shea, J.M.; Shrestha, A.B.; Pellicciotti, F.; Bierkens, M.F.P.; de Jong, S.M.
Source:
Remote sensing of environment 2014 v.150 pp. 93-103
ISSN:
0034-4257
Subject:
algorithms,   etc   ; cliffs; digital elevation models; glaciers; glaciology; global positioning systems; hydrology; ice; melting; monitoring; monsoon season; ponds; remote sensing; snowmelt; tongue; unmanned aerial vehicles; Nepal;     Show all 17 Subjects
Abstract:
... Himalayan glacier tongues are commonly debris covered and they are an important source of melt water. However, they remain relatively unstudied because of the inaccessibility of the terrain and the difficulties in field work caused by the thick debris mantles. Observations of debris-covered glaciers are therefore scarce and airborne remote sensing may bridge the gap between scarce field observatio ...
DOI:
10.1016/j.rse.2014.04.025

14. Monitoring of Alpine snow using satellite radiometers and artificial neural networks

Author:
Santi, E.; Pettinato, S.; Paloscia, S.; Pampaloni, P.; Fontanelli, G.; Crepaz, A.; Valt, M.
Source:
Remote sensing of environment 2014 v.144 pp. 179-186
ISSN:
0034-4257
Subject:
algorithms,   etc   ; data collection; digital elevation models; forests; land use; microwave radiometers; monitoring; neural networks; remote sensing; satellites; snow; surface temperature; winter; Alps region; Italy;     Show all 15 Subjects
Abstract:
... The Alps represent an extremely complex environment in which snow properties suffer dramatic spatial variations that cannot easily be followed by space-borne microwave radiometers, due to their coarse spatial resolution: some studies demonstrated that the algorithms developed for global scale monitoring of the snow depth (SD) are unable to retrieve this parameter with a satisfactory accuracy on mo ...
DOI:
10.1016/j.rse.2014.01.012

15. Drained thaw lake basin recovery on the western Arctic Coastal Plain of Alaska using high-resolution digital elevation models and remote sensing imagery

Author:
Wang, Jida; Sheng, Yongwei; Hinkel, Kenneth M.; Lyons, Evan A.
Source:
Remote sensing of environment 2012 v.119 pp. 325-336
ISSN:
0034-4257
Subject:
algorithms,   etc   ; basins; carbon; coastal plains; digital elevation models; drainage water; lakes; landscapes; nesting; photographs; remote sensing; watersheds; Alaska; Arctic region;     Show all 14 Subjects
Abstract:
... The landscape on the Arctic Coastal Plain (ACP) of Alaska is dominated by thousands of thaw (thermokarst) lakes and associated drained thaw lake basins (DTLBs). Knowledge of the DTLBs benefits our understanding of thaw lake dynamics, carbon cycles, and paleo-climatic change on the ACP since the end of the Late Glacial. This study initializes the application of high-resolution digital elevation mod ...
DOI:
10.1016/j.rse.2011.10.027

16. Salt marsh elevation and habitat mapping using hyperspectral and LIDAR data

Author:
Hladik, Christine; Schalles, John; Alber, Merryl
Source:
Remote sensing of environment 2013 v.139 pp. 318-330
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Spartina alterniflora; decision support systems; digital elevation models; habitats; hyperspectral imagery; lidar; macrophytes; normalized difference vegetation index; remote sensing; salt marshes; vegetation cover; United States;     Show all 13 Subjects
Abstract:
... Accurate mapping of both elevation and plant distributions in salt marshes is important for management and conservation goals. Although light detection and ranging (LIDAR) is effective at measuring surface elevations, laser penetration is limited in dense salt marsh vegetation. In a previous study, we found that LIDAR-derived digital elevation model (DEM) error varied with vegetation cover. We der ...
DOI:
10.1016/j.rse.2013.08.003

17. Wetland inundation monitoring by the synergistic use of ENVISAT/ASAR imagery and ancilliary spatial data

Author:
Marti-Cardona, Belen; Dolz-Ripolles, Josep; Lopez-Martinez, Carlos
Source:
Remote sensing of environment 2013 v.139 pp. 171-184
ISSN:
0034-4257
Subject:
algorithms,   etc   ; angle of incidence; climate change; digital elevation models; ecosystems; environmental health; hydrologic cycle; monitoring; remote sensing; seeds; spatial data; summer; temporal variation; vegetation; water resources; wetlands; winter; Spain;     Show all 18 Subjects
Abstract:
... Wetlands are among the most ecologically important ecosystems on Earth and their sustainability depends critically on the water resources. In a scenario of climate change and increased anthropogenic pressure, detailed monitoring of the water resources provides a fundamental tool to assess the ecosystem health and identify potential threats.Doñana wetlands, in Southwest Spain, dry out every summer ...
DOI:
10.1016/j.rse.2013.07.028

18. A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China

Author:
Jia, Shaofeng; Zhu, Wenbin; Lű, Aifeng; Yan, Tingting
Source:
Remote sensing of environment 2011 v.115 no.12 pp. 3069-3079
ISSN:
0034-4257
Subject:
algorithms,   etc   ; basins; data collection; digital elevation models; ecology; environmental factors; hydrology; linear models; meteorology; normalized difference vegetation index; radar; rain; rain gauges; regression analysis; remote sensing; satellites; topography; vegetation; China;     Show all 19 Subjects
Abstract:
... The availability of precipitation data with high spatial resolution is of fundamental importance in several applications such as hydrology, meteorology and ecology. At present, there are mainly two sources of precipitation estimates: raingauge stations and remote sensing technology. However, a large number of studies demonstrated that traditional point measurements based on raingauge stations cann ...
DOI:
10.1016/j.rse.2011.06.009