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1
A 30 m global map of elevation with forests and buildings removed
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A 30 m global map of elevation with forests and buildings removed

Hawker, Laurence ; Uhe, Peter ; Paulo, Luntadila ; Sosa, Jeison ; Savage, James ; Sampson, Christopher ; Neal, Jeffrey

Environmental research letters, 2022-02, Vol.17 (2), p.24016 [Periódico revisado por pares]

Bristol: IOP Publishing

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2
Accuracy assessment of the TanDEM-X 90 Digital Elevation Model for selected floodplain sites
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Accuracy assessment of the TanDEM-X 90 Digital Elevation Model for selected floodplain sites

Hawker, Laurence ; Neal, Jeffrey ; Bates, Paul

Remote sensing of environment, 2019-10, Vol.232, p.111319, Article 111319 [Periódico revisado por pares]

New York: Elsevier Inc

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3
ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)
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ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD)

Abrams, Michael ; Crippen, Robert ; Fujisada, Hiroyuki

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1156 [Periódico revisado por pares]

Basel: MDPI AG

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4
A multi-sensor approach towards a global vegetation corrected SRTM DEM product
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A multi-sensor approach towards a global vegetation corrected SRTM DEM product

O'Loughlin, F.E. ; Paiva, R.C.D. ; Durand, M. ; Alsdorf, D.E. ; Bates, P.D.

Remote sensing of environment, 2016-09, Vol.182, p.49-59 [Periódico revisado por pares]

Elsevier Inc

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5
Digital Elevation Model Quality Assessment Methods: A Critical Review
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Digital Elevation Model Quality Assessment Methods: A Critical Review

Polidori, Laurent ; El Hage, Mhamad

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3522 [Periódico revisado por pares]

Basel: MDPI AG

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6
Evaluation of ASTER GDEM2, SRTMv3.0, ALOS AW3D30 and TanDEM-X DEMs for the Peruvian Andes against highly accurate GNSS ground control points and geomorphological-hydrological metrics
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Evaluation of ASTER GDEM2, SRTMv3.0, ALOS AW3D30 and TanDEM-X DEMs for the Peruvian Andes against highly accurate GNSS ground control points and geomorphological-hydrological metrics

González-Moradas, Maria del Rosario ; Viveen, Willem

Remote sensing of environment, 2020-02, Vol.237, p.111509, Article 111509 [Periódico revisado por pares]

New York: Elsevier Inc

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7
Structure from motion will revolutionize analyses of tidal wetland landscapes
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Structure from motion will revolutionize analyses of tidal wetland landscapes

Kalacska, M. ; Chmura, G.L. ; Lucanus, O. ; Bérubé, D. ; Arroyo-Mora, J.P.

Remote sensing of environment, 2017-09, Vol.199, p.14-24 [Periódico revisado por pares]

New York: Elsevier Inc

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8
Recreation and terrain effect on the spatial variation of the apparent soil electrical conductivity in an urban park
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Recreation and terrain effect on the spatial variation of the apparent soil electrical conductivity in an urban park

Kunakh, O. M ; Yorkina, N. V ; Zhukov, O. V ; Turovtseva, N. M ; Bredikhina, Y. L ; Logvina-Byk, T. A

Biosystems diversity, 2020-01, Vol.28 (1), p.3-8 [Periódico revisado por pares]

Дніпропетровський національний університет імені Олеся Гончара

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9
Bridging the lab‐field interface in fluvial morphology at patch‐scale: Using close‐range photogrammetry to assess surface replication and vegetation influence
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Bridging the lab‐field interface in fluvial morphology at patch‐scale: Using close‐range photogrammetry to assess surface replication and vegetation influence

Groom, Jane ; Friedrich, Heide

River research and applications, 2018-12, Vol.34 (10), p.1328-1337 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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10
A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics
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A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics

Xu, Shiguang ; Wu, Chaoyang ; Wang, Li ; Gonsamo, Alemu ; Shen, Yan ; Niu, Zheng

Remote sensing of environment, 2015-06, Vol.162, p.119-140 [Periódico revisado por pares]

Elsevier Inc

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