Results 191 to 200 of about 643,688 (353)

Land Cover Classification Using IRS-1D Data and a Decision Tree Classifier

, 2012
Hamidreza Keshtkar, H. Azarnivand, H Arzani, Seyed Kazem Alavipanah, F. Mellati   +4 more
openalex   +2 more sources

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

A new framework with convoluted oscillatory neural network for efficient object-based land use and land cover classification on remote sensing images. [PDF]

Front Artif Intell
Chandnani CJ, Kulkarni SC, Amali D GB, Selvaraj R.   +3 more
europepmc   +1 more source

A crop type dataset for consistent land cover classification in Central Asia. [PDF]

Sci Data, 2020
Remelgado R, Zaitov S, Kenjabaev S, Stulina G, Sultanov M, Ibrakhimov M, Akhmedov M, Dukhovny V, Conrad C.   +8 more
europepmc   +1 more source

Techniques for delineation and portrayal of land cover types using ERTS-1 data [PDF]

The author has identified the following significant results. ERTS data was used to map land cover in agricultural areas, although in some parts of Pennsylvania, with small irregular fields, many of the pixels overlap field boundaries and cause ...
Mcmurtry, G. J., Petersen, G. W., Wilson, A. D.   +2 more
core   +1 more source

Process development priorities for scaling up direct microbial conversion of sugars into value‐added biochemicals

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract The study identified process development priorities toward the feasible production of five value‐added biochemicals in a sugarcane biorefinery based on achievable bioconversion performances. Multiple process scenarios using A‐molasses as feedstock were simulated in Aspen Plus® via direct microbial conversions.
Manasseh K. Sikazwe, Jeanne Louw, Johann F. Görgens   +2 more
wiley   +1 more source

Hybrid deep learning and optimization-based land use and land cover classification for advancing sustainable agriculture in Najran city, Saudi Arabia. [PDF]

Sci Rep
Mashraqi AM, Alshari EA, Halawani HT, Senan EM, Asiri Y, Alowadhi BM.   +5 more
europepmc   +1 more source

Coastal Land Cover Classification of High-Resolution Remote Sensing Images Using Attention-Driven Context Encoding Network. [PDF]

Sensors (Basel), 2020
Chen J, Chen G, Wang L, Fang B, Zhou P, Zhu M.   +5 more
europepmc   +1 more source

Application of CNNs in Feature Learning for Remote Sensing Data: A Case Study on Land Cover Classification and Environmental Change Detection

Zhaoyi Li
openalex   +1 more source

Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting

, 2018
Stefanos Georganos, Taïs Grippa, Sabine Vanhuysse, Moritz Lennert, Michal Shimoni, Éléonore Wolff   +5 more
openalex   +2 more sources