An investigation in satellite images based on image enhancement techniques

R Ablin, CH Sulochana, G Prabin - European Journal of Remote …, 2020 - Taylor & Francis
ABSTRACT In Satellite Images, enhancement plays a dynamic research topic in image
processing. The aim of enhancement is to process an image so that the result is more …

[图书][B] Multisensor data fusion and machine learning for environmental remote sensing

NB Chang, K Bai - 2018 - taylorfrancis.com
In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

Above-ground biomass estimation for Quercus rotundifolia using vegetation indices derived from high spatial resolution satellite images

FL Macedo, AMO Sousa, AC Gonçalves… - European Journal of …, 2018 - Taylor & Francis
The estimation of vegetation parameters, such as above-ground biomass, with high
accuracy using remote sensing data, represents a promising approach. The present study …

Estimation of some stand parameters from textural features from WorldView-2 satellite image using the artificial neural network and multiple regression methods: a …

A Günlü, İ Ercanlı, M Şenyurt, S Keleş - Geocarto International, 2021 - Taylor & Francis
The aim of this research is to assess some stand parameters such as stand volume (SV),
basal area (BA), number of trees (NT) and aboveground biomass (AGB) of pure Crimean …

Comparison of satellite images with different spatial resolutions to estimate stand structural diversity in urban forests

UY Ozkan, I Ozdemir, T Demirel, S Saglam… - Journal of Forestry …, 2017 - Springer
The structural diversity in urban forests is highly important to protect biodiversity. In
particular, fruit trees and bush species, cavity-bearing trees and coarse, woody debris …

Saf Kızılçam (Pinus brutia Ten.) Meşcerelerinde Aktif ve Pasif Uydu Görüntüleri Kullanılarak Topraküstü Biyokütlenin Tahmin Edilmesi (Anamur Orman İşletme Şefliği …

İ Güverçin, A Günlü - Bartın Orman Fakültesi Dergisi, 2023 - dergipark.org.tr
Bu çalışmanın amacı; saf kızılçam (Pinus brutia Ten.) meşcrelerinde aktif (Sentinel-1A) ve
pasif (Landsat 8 OLI) uydu görüntüleri ile bazı topoğrafik veriler kullanılarak topraküstü …

Estimating quantitative forest attributes using Pleiades satellite data and non-parametric algorithms in Darabkola forests, Mazandaran.

M Zahriban, A Fallah, SH Shataee, S Kalbi - 2015 - cabidigitallibrary.org
Abstract Knowledge on quantitative forest attributes is a prerequisite for forest stand
management. The aim of this study was to evaluate high resolution Pleiades data in …

Artificial intelligence associated with Sentinel-2 data in predicting commercial volume in Brazilian Amazon Forest

FC Gonçalves, EP Miguel… - Journal of Applied …, 2021 - spiedigitallibrary.org
Forest inventory and monitoring is normally carried out based on field measurements of
biophysical attributes such as diameter, height, and the number of trees, which is a labor …

Estimation of structural diversity in urban forests based on spectral and textural properties derived from digital aerial images

UY Ozkan, T Demirel, I Ozdemir, M Arekhi - Journal of the Indian Society of …, 2019 - Springer
Urban forests generally have a heterogeneous structure consisting of small vegetation
patches. High spatial resolution digital aerial images are still a primary data source for urban …

Estimating aboveground biomass using active and passive satellite images in pure Calabrian pine (Pinus brutia Ten.) stands (a case study in Anamur Forest …

İ Güverçin, A Günlü - 2023 - cabidigitallibrary.org
The aim of this study is to estimate aboveground biomass in pure Calabrian pine (Pinus
brutia Ten.) stands using active (Sentinel-1A) and passive (Landsat 8 OLI) satellite images …