Estimation of the Spatial Variation in Evapotranspiration based on Landsat TM and NOAA Satellite Imagery

Geografisk Tidsskrift-Danish Journal of Geography ◽

10.1080/00167223.1992.10649319 ◽

1992 ◽

Vol 92 (1) ◽

pp. 80-85 ◽

Author(s):

Henrik Søgaard

Keyword(s):

Spatial Variation ◽

Satellite Imagery ◽

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Mesoscale circulation features of the great barrier reef region inferred from NOAA satellite imagery

Remote Sensing of Environment ◽

10.1016/0034-4257(95)00226-x ◽

1996 ◽

Vol 56 (1) ◽

pp. 21-41 ◽

Author(s):

Derek M. Burrage ◽

Craig R. Steinberg ◽

William J. Skirving ◽

Joan A. Kleypast

Keyword(s):

Great Barrier Reef ◽

Satellite Imagery ◽

Mesoscale Circulation ◽

Barrier Reef ◽

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Chapter 15 Terrestrial Net Primary Production (NPP) Estimation Using NOAA Satellite Imagery: Inter-annual Changes between 1982 and 1999

Elsevier Oceanography Series - Global Climate Change and Response of Carbon Cycle in the Equatorial Pacific and Indian Oceans and Adjacent Landmasses ◽

10.1016/s0422-9894(06)73015-x ◽

2007 ◽

pp. 361-507

Author(s):

Yoshio Awaya ◽

Eiji Kodani ◽

Dafang Zhuang

Keyword(s):

Primary Production ◽

Satellite Imagery ◽

Net Primary Production ◽

Noaa Satellite ◽

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Turbulence-induced spatial variation of surface temperature in high-resolution thermal IR satellite imagery

10.1117/12.462447 ◽

2003 ◽

Author(s):

Lee K. Balick ◽

Christopher A. Jeffery ◽

Bradley G. Henderson

Keyword(s):

High Resolution ◽

Surface Temperature ◽

Spatial Variation ◽

Satellite Imagery

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HIGH SPATIAL RESOLUTION MAPPING OF MALARIA TRANSMISSION RISK IN THE GAMBIA, WEST AFRICA, USING LANDSAT TM SATELLITE IMAGERY

American Journal of Tropical Medicine and Hygiene ◽

10.4269/ajtmh.2007.76.875 ◽

2007 ◽

Vol 76 (5) ◽

pp. 875-881 ◽

Author(s):

CLAUS BØGH ◽

MARGARET PINDER ◽

MUSA JAWARA ◽

ANDY DEAN ◽

CHRISTOPHER J. THOMAS ◽

...

Keyword(s):

West Africa ◽

Malaria Transmission ◽

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution ◽

Transmission Risk ◽

Resolution Mapping

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Soil moisture assessment in the alluvial basins associated with seismic activity of northwest Anatolia, Turkey, using Landsat TM/ETM satellite imagery / Estimation de l’humidité du sol associée à l’activité sismique dans les bassins alluviaux du nord-ouest de l’Anatolie (Turquie) par l’imagerie satellitaire Landsat TM/ETM

Hydrological Sciences Journal ◽

10.1623/hysj.49.1.171.53991 ◽

2004 ◽

Vol 49 (1) ◽

pp. 171-182 ◽

Author(s):

Kenan Tüfekçi ◽

A. Ünal Akman

Keyword(s):

Soil Moisture ◽

Satellite Imagery ◽

Seismic Activity ◽

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Vegetation mapping of a tropical freshwater swamp in the Northern Territory, Australia: A comparison of aerial photography, Landsat TM and SPOT satellite imagery

International Journal of Remote Sensing ◽

10.1080/01431160119174 ◽

2001 ◽

Vol 22 (15) ◽

pp. 2911-2925 ◽

Author(s):

K. R. Harvey ◽

G. J. E. Hill

Keyword(s):

Satellite Imagery ◽

Aerial Photography ◽

Vegetation Mapping ◽

Northern Territory ◽

Freshwater Swamp ◽

Tropical Freshwater

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Identification of areas of recharge and discharge using Landsat-TM satellite imagery and aerial photography mapping techniques

Journal of Hydrology ◽

10.1016/0022-1694(94)90007-8 ◽

1994 ◽

Vol 162 (1-2) ◽

pp. 119-141 ◽

Author(s):

R.B. Salama ◽

I. Tapley ◽

T. Ishii ◽

G. Hawkes

Keyword(s):

Satellite Imagery ◽

Aerial Photography ◽

Mapping Techniques

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Comparison of Forest Carbon Stocks Estimation Methods Using Forest Type Map and Landsat TM Satellite Imagery

Korean Journal of Remote Sensing ◽

10.7780/kjrs.2015.31.5.9 ◽

2015 ◽

Vol 31 (5) ◽

pp. 449-459 ◽

Author(s):

Kyoung-Min Kim ◽

Jung-Bin Lee ◽

Jaehoon Jung

Keyword(s):

Satellite Imagery ◽

Forest Type ◽

Carbon Stocks ◽

Forest Carbon ◽

Estimation Methods

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Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2018.08.013 ◽

2018 ◽

Vol 73 ◽

pp. 666-681 ◽

Author(s):

Grant Staben ◽

Arko Lucieer ◽

Peter Scarth

Keyword(s):

Machine Learning ◽

Satellite Imagery ◽

Tree Canopy ◽

Canopy Height ◽

Learning Approach ◽

Machine Learning Approach

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Mapping badland areas using LANDSAT TM/ETM satellite imagery and morphological data

Geomorphology ◽

10.1016/j.geomorph.2008.11.012 ◽

2009 ◽

Vol 106 (3-4) ◽

pp. 333-343 ◽

Author(s):

M. Liberti ◽

T. Simoniello ◽

M.T. Carone ◽

R. Coppola ◽

M. D'Emilio ◽

...

Keyword(s):

Satellite Imagery ◽

Morphological Data

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