Results 31 to 40 of about 87,231 (317)

Landsat-based map of the vegetation cover of the Perm region

, 2022
This dataset presents the first Landsat-based map of the vegetation cover for the Perm region (Russia). Initial Landsat images were obtained in 2016-2020.
Andrey Shikhov (8664123), Anastasia Semakina (8664159)   +1 more
core   +1 more source

PERBANDINGAN NILAI KLOROFIL-A MENGGUNAKAN CITRA LANDSAT DAN MERIS DI DANAU SENTANI, JAYAPURA

Geoid, 2015
Waduk dan Danau sangat penting dalam turut menciptakan keseimbangan ekologi dan tata air. Dari sudut ekologi, waduk dan danau merupakan ekosistem yang terdiri dari unsur air, kehidupan akuatik, dan daratan yang dipengaruhi tinggi rendahnya muka air ...
Jayeng Rangga Bhirawa, Lalu Muhamad Jaelani   +1 more
doaj   +1 more source

Evaluation of temporal compositing algorithms for annual land cover classification using Landsat time series data

International Journal of Digital Earth, 2023
In this paper, four widely used temporal compositing algorithms, i.e. median, maximum NDVI, medoid, and weighted scoring-based algorithms, were evaluated for annual land cover classification using monthly Landsat time series data.
Xichen Meng, Shuai Xie, Lin Sun, Liangyun Liu, Yilong Han   +4 more
doaj   +1 more source

Digital mapping of corrosion risk in coastal urban areas using remote sensing and structural condition assessment: case study in cyprus

Open Geosciences, 2016
Atmospheric corrosion is one of the main factors leading to performance deterioration of reinforced concrete buildings; and, hence, periodic structural condition monitoring is required to assess and repair the adverse effects of corrosion.
Neocleous Kyriacos, Christofe Andreas, Agapiou Athos, Evagorou Evagoras, Themistocleous Kyriacos, Hadjimitsis Diofantos   +5 more
doaj   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source

Study of Fluctuations in Surface Area of Lake Haramaya using NDWI and MNDWI Methods

Journal of Geospatial Information Science and Engineering, 2022
Lakes are of great value to human beings and important for various reasons like regulating the flow of river water, to maintain the eco-system and storage of water during the dry seasons. Lake Haramaya, which is situated at 14 km Northwest of Harer town (
Riyaz Khan N H
doaj   +1 more source

Evaluation Of Deforestation Process Using Artificial Neural Networks Algorithm (Case Study: Namin County Hazelnut Forests) [PDF]

محیط زیست و توسعه فرابخشی, 2020
Namin county in Ardebil province has a large lands of hazelnut forest species, that it is one of the rich habitats of Hyrcanian forests. Therefore, the purpose of this study is to evaluate the land degradation process of hazelnut forests in Namin County ...
Farhad Javan, Hasan Hasani Moghaddam, Hasan Torabi   +2 more
doaj   +1 more source

Landsat

, 2007
This Landsat-7 ETM+ image is a false colour composite of bands 5-4-3 and has been pan-sharpened.
P Budkewitsch, R G McGregor
openaire   +1 more source

Cloud Classification in JPEG-compressed Remote Sensing Data (LANDSAT 7/ETM+)

, 2012
Environmental parameters required for geo-information modelling are subject to spatial and temporal dynamics. Remote sensing data can contribute to measure those parameters.
Fichtelmann, Bernd, Asche, Hartmut, Hartmut Asche, Borg, Erik, Bernd Fichtelmann, Erik Borg   +5 more
core   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source