Results 121 to 130 of about 291 (148)

A Comparative Analysis of Machine Learning with WorldView-2 Pan-Sharpened Imagery for Tea Crop Mapping. [PDF]

Sensors (Basel), 2016
Chuang YC, Shiu YS.
europepmc   +1 more source

Aerial photography based census of Adélie Penguin and its application in CH₄ and N₂O budget estimation in Victoria Land, Antarctic. [PDF]

Sci Rep, 2017
He H, Cheng X, Li X, Zhu R, Hui F, Wu W, Zhao T, Kang J, Tang J.   +8 more
europepmc   +1 more source

Mapping sub-antarctic cushion plants using random forests to combine very high resolution satellite imagery and terrain modelling. [PDF]

PLoS One, 2013
Bricher PK, Lucieer A, Shaw J, Terauds A, Bergstrom DM.   +4 more
europepmc   +1 more source

True-3D accentuating of grids and streets in urban topographic maps enhances human object location memory. [PDF]

PLoS One, 2015
Edler D, Bestgen AK, Kuchinke L, Dickmann F.   +3 more
europepmc   +1 more source

Habitat Loss Does Not Always Entail Negative Genetic Consequences. [PDF]

Front Genet, 2019
Carvalho CS, Lanes ÉCM, Silva AR, Caldeira CF, Carvalho-Filho N, Gastauer M, Imperatriz-Fonseca VL, Nascimento Júnior W, Oliveira G, Siqueira JO, Viana PL, Jaffé R.   +11 more
europepmc   +1 more source

Automated parameterisation for multi-scale image segmentation on multiple layers.

ISPRS J Photogramm Remote Sens, 2014
Drăguţ L, Csillik O, Eisank C, Tiede D.   +3 more
europepmc   +1 more source

Big Earth data: disruptive changes in Earth observation data management and analysis? [PDF]

Int J Digit Earth, 2019
Sudmanns M, Tiede D, Lang S, Bergstedt H, Trost G, Augustin H, Baraldi A, Blaschke T.   +7 more
europepmc   +1 more source

The effect of anthropogenic drivers on spatial patterns of mangrove land use on the Amazon coast. [PDF]

PLoS One, 2019
Hayashi SN, Souza-Filho PWM, Nascimento WR, Fernandes MEB.   +3 more
europepmc   +1 more source

Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications. [PDF]

Sensors (Basel), 2019
Afrin S, Gupta A, Farjad B, Ahmed MR, Achari G, Hassan Q.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Identification of artisanal mining sites in the Amazon Rainforest using Geographic Object-Based Image Analysis (GEOBIA) and Data Mining techniques

Remote Sensing Applications: Society and Environment, 2021
Abstract Para is a Brazilian state leader in deforestation and deserves special attention due to the intense artisanal mining activity that has caused severe environmental damage to the Amazon Rainforest. Remote sensing is an important tool for identifying areas degraded by mining activities.
Jackson Simionato, Liliana Sayuri Osako
exaly   +2 more sources