Method of estimating the standing stock of Trochus niloticus incorporating Landsat satellite data, with application to the trochus resources of the Bourke Isles, Torres Strait, Australia

B. G. Long; I. R. Poiner; A. N. M. Harris

doi:10.1007/bf00349366

Method of estimating the standing stock of Trochus niloticus incorporating Landsat satellite data, with application to the trochus resources of the Bourke Isles, Torres Strait, Australia

Marine Biology ◽

10.1007/bf00349366 ◽

1993 ◽

Vol 115 (4) ◽

pp. 587-593 ◽

Cited By ~ 11

Author(s):

B. G. Long ◽

I. R. Poiner ◽

A. N. M. Harris

Keyword(s):

Satellite Data ◽

Standing Stock ◽

Torres Strait ◽

Landsat Satellite ◽

Trochus Niloticus

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Mining Induced LULC Change Detection Study Using Landsat Satellite Data in Joda-Barbil Region of Kenojhar District, Odisha, India

International Journal of Earth Sciences and Engineering ◽

10.21276/ijee.2017.10.0214 ◽

2017 ◽

Vol 10 (02) ◽

pp. 233-241 ◽

Cited By ~ 1

Author(s):

D. BEHERA

Keyword(s):

Change Detection ◽

Satellite Data ◽

Lulc Change ◽

Landsat Satellite

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Quantification of urban heat intensity with land use/land cover changes using Landsat satellite data over urban landscapes

Theoretical and Applied Climatology ◽

10.1007/s00704-021-03610-3 ◽

2021 ◽

Author(s):

Ruchi Bala ◽

Rajendra Prasad ◽

Vijay Pratap Yadav

Keyword(s):

Land Use ◽

Land Cover ◽

Satellite Data ◽

Land Cover Changes ◽

Urban Landscapes ◽

Land Use Land Cover ◽

Urban Heat ◽

Landsat Satellite

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Mapping of salt-affected land in Saurashtra coast using Landsat satellite data

International Journal of Remote Sensing ◽

10.1080/01431169308954012 ◽

1993 ◽

Vol 14 (10) ◽

pp. 1919-1929 ◽

Cited By ~ 17

Author(s):

M. D. JOSHI ◽

B. SAHAI

Keyword(s):

Satellite Data ◽

Saurashtra Coast ◽

Landsat Satellite

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Distinguishing and mapping of aquatic vegetations and yellow algae bloom with Landsat satellite data in a complex shallow Lake, China during 1986–2018

Ecological Indicators ◽

10.1016/j.ecolind.2020.106073 ◽

2020 ◽

Vol 112 ◽

pp. 106073 ◽

Cited By ~ 1

Author(s):

Song Qing ◽

Runa A ◽

Buri Shun ◽

Wenjing Zhao ◽

Yuhai Bao ◽

...

Keyword(s):

Satellite Data ◽

Shallow Lake ◽

Algae Bloom ◽

Landsat Satellite

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Urban Growth Modeling using Historical Landsat Satellite Data Archive on Google Earth Engine

2019 First International Conference on Smart Technology & Urban Development (STUD) ◽

10.1109/stud49732.2019.9018846 ◽

2019 ◽

Author(s):

Hiroyuki Miyazaki ◽

Himanshu Bhushan ◽

Kotone Wakiya

Keyword(s):

Urban Growth ◽

Satellite Data ◽

Growth Modeling ◽

Google Earth ◽

Data Archive ◽

Urban Growth Modeling ◽

Google Earth Engine ◽

Landsat Satellite

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Privatizing Government Information: The Effects of Policy on Access to Landsat Satellite Data. Kathleen M. Eisenbeis

The Library Quarterly ◽

10.1086/602898 ◽

1996 ◽

Vol 66 (3) ◽

pp. 325-327

Keyword(s):

Satellite Data ◽

Government Information ◽

Landsat Satellite

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An investigation on seasonal variability between LST and NDWI in an urban environment using Landsat satellite data

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2020.1789762 ◽

2020 ◽

Vol 11 (1) ◽

pp. 1319-1345 ◽

Cited By ~ 4

Author(s):

Subhanil Guha ◽

Himanshu Govil ◽

Monika Besoya

Keyword(s):

Urban Environment ◽

Satellite Data ◽

Seasonal Variability ◽

Landsat Satellite

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Murray-Darling Basin vegetation monitoring project : using time series Landsat Satellite data for the assessment of vegetation control

10.11636/record.2013.037 ◽

2013 ◽

Author(s):

Rachel Melrose ◽

Jeff Kingwell ◽

Leo Lymburner ◽

Rohan Coghlan

Keyword(s):

Time Series ◽

Satellite Data ◽

Vegetation Monitoring ◽

Vegetation Control ◽

Murray Darling Basin ◽

Landsat Satellite

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Correcting the Fire Scar Perimeter of a 1983 Wildfire Using USGS-Archived Landsat Satellite Data

GIScience & Remote Sensing ◽

10.2747/1548-1603.48.4.600 ◽

2011 ◽

Vol 48 (4) ◽

pp. 600-613 ◽

Cited By ~ 6

Author(s):

Foula Nioti ◽

Panayotis Dimopoulos ◽

Nikos Koutsias

Keyword(s):

Satellite Data ◽

Fire Scar ◽

Landsat Satellite

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The potential use of high-resolution Landsat satellite data for detecting land-cover change in the Greater Horn of Africa

International Journal of Remote Sensing ◽

10.1080/01431161.2010.499382 ◽

2011 ◽

Vol 32 (21) ◽

pp. 5981-5995 ◽

Cited By ~ 8

Author(s):

Andreas Bernhard Brink ◽

Hugh Douglas Eva

Keyword(s):

High Resolution ◽

Land Cover ◽

Land Cover Change ◽

Satellite Data ◽

Horn Of Africa ◽

Landsat Satellite ◽

Greater Horn Of Africa ◽

Potential Use

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