Spatial Analysis of the Distribution of Tsetse Flies in the Lambwe Valley, Kenya, Using Landsat TM Satellite Imagery and GIS

U. Kitron; L. H. Otieno; L. L. Hungerford; A. Odulaja; W. U. Brigham; O. O. Okello; M. Joselyn; M. M. Mohamed-Ahmed; E. Cook

doi:10.2307/5883

Spatial Analysis of the Distribution of Tsetse Flies in the Lambwe Valley, Kenya, Using Landsat TM Satellite Imagery and GIS

Journal of Animal Ecology ◽

10.2307/5883 ◽

1996 ◽

Vol 65 (3) ◽

pp. 371 ◽

Cited By ~ 55

Author(s):

U. Kitron ◽

L. H. Otieno ◽

L. L. Hungerford ◽

A. Odulaja ◽

W. U. Brigham ◽

...

Keyword(s):

Spatial Analysis ◽

Satellite Imagery ◽

Landsat Tm ◽

Tsetse Flies ◽

Lambwe Valley

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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 ◽

Cited By ~ 1

Author(s):

Henrik Søgaard

Keyword(s):

Spatial Variation ◽

Satellite Imagery ◽

Landsat Tm ◽

Noaa Satellite

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Spatial Analysis of Water Pollution using Multitemporal Satellite Imagery (Case Study: River Lamong Estuary, Surabaya)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/165/1/012015 ◽

2018 ◽

Vol 165 ◽

pp. 012015

Author(s):

Bangun Muljo Sukojo ◽

Renita Elizabeth Sianipar

Keyword(s):

Water Pollution ◽

Spatial Analysis ◽

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 ◽

Cited By ~ 57

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 ◽

The Gambia ◽

Landsat Tm ◽

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 ◽

Cited By ~ 1

Author(s):

Kenan Tüfekçi ◽

A. Ünal Akman

Keyword(s):

Soil Moisture ◽

Satellite Imagery ◽

Seismic Activity ◽

Landsat Tm

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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 ◽

Cited By ~ 129

Author(s):

K. R. Harvey ◽

G. J. E. Hill

Keyword(s):

Satellite Imagery ◽

Aerial Photography ◽

Vegetation Mapping ◽

Northern Territory ◽

Landsat Tm ◽

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 ◽

Cited By ~ 30

Author(s):

R.B. Salama ◽

I. Tapley ◽

T. Ishii ◽

G. Hawkes

Keyword(s):

Satellite Imagery ◽

Aerial Photography ◽

Landsat Tm ◽

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 ◽

Cited By ~ 1

Author(s):

Kyoung-Min Kim ◽

Jung-Bin Lee ◽

Jaehoon Jung

Keyword(s):

Satellite Imagery ◽

Forest Type ◽

Carbon Stocks ◽

Forest Carbon ◽

Landsat Tm ◽

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 ◽

Cited By ~ 12

Author(s):

Grant Staben ◽

Arko Lucieer ◽

Peter Scarth

Keyword(s):

Machine Learning ◽

Satellite Imagery ◽

Tree Canopy ◽

Landsat Tm ◽

Canopy Height ◽

Learning Approach ◽

Machine Learning Approach

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Spatial analysis: Mapping potential land for sustainable urban forests using Landsat-TM satellite data imagery in East Jakarta

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/202/1/012004 ◽

2018 ◽

Vol 202 ◽

pp. 012004

Author(s):

D M Sundara ◽

D M Hartono ◽

E Suganda ◽

H Haeruman

Keyword(s):

Spatial Analysis ◽

Satellite Data ◽

Urban Forests ◽

Landsat Tm ◽

Potential Land

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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 ◽

Cited By ~ 42

Author(s):

M. Liberti ◽

T. Simoniello ◽

M.T. Carone ◽

R. Coppola ◽

M. D'Emilio ◽

...

Keyword(s):

Satellite Imagery ◽

Landsat Tm ◽

Morphological Data

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