Results 31 to 40 of about 22,065 (212)

Evolution of small reservoirs in Burkina Faso [PDF]

, 2020
Small reservoirs (SRs) are important infrastructures for providing water for a wide range of activities in Burkina Faso and other semiarid environments.
Barron, Jennie, Cofie, Olufunke, Forkuor, Gerald   +2 more
core  

Effects of habitat composition and landscape structure on worker foraging distances of five bumblebee species [PDF]

, 2016
Bumblebees (Bombus spp.) are important pollinators of both crops and wild flowers. Their contribution to this essential ecosystem service has been threatened over recent decades by changes in land use, which have led to declines in their populations.
Andrew F. G. Bourke, Benton, Bommarco, Broughton, Burnham, Carvell, Carvell, Carvell, Carvell, Chapman, Charman, Claire Carvell, Cranmer, Cresswell, Darvill, Dramstad, Dramstad, Dreier, Dreier, Dukas, Ellis, Garibaldi, Garratt, Goulson, Goulson, Goulson, Goulson, Greenleaf, Hagen, Herrmann, Holehouse, Holzschuh, Jha, Jinliang Wang, John W. Redhead, Knight, Knight, Kovács-Hostyánszki, Krauss, Lonsdorf, Matthew S. Heard, Moser, Osborne, Osborne, Persson, Prys-Jones, R Core Team, Raine, Redhead, Riitters, Rundlof, Schmid-Hempel, Seirian Sumner, Stanley, Stephanie Dreier, Stewart, Stout, Suzuki, Truett, Walther-Hellwig, Wang, Westphal, Westphal, Westphal, Westphal, William C. Jordan, Williams, Wood   +67 more
core   +5 more sources

The Geospatial Understanding of Climate-Smart Agriculture and REDD+ Implementation: Indian Perspective

Ekológia (Bratislava), 2020
Geospatial technology has an enormous capacity to analyze large and diversified datasets for evaluating the hidden spatial relationship which provides a better comprehension of the subject and helps significantly in policymaking and planning future ...
Ahmad Firoz, Farooq Asim, Goparaju Laxmi, Rizvi Javed   +3 more
doaj   +1 more source

ANALISIS SPATIO-TEMPORAL PERUBAHAN TUTUPAN LAHAN DAN KAITANNYA DENGAN TEMPERATUR PERMUKAAN LAHAN DI DESA CIPUTRI PERIODE 2005-2035

JTSL (Jurnal Tanah dan Sumberdaya Lahan)
Land Use and Land Cover (LULC) change are major factors affecting Land Surface Temperature (LST), especially in areas experiencing urbanisation and climate change pressures.
I Kadek Yoga Dwi Putra, Masita Dwi Mandini Manessa, Adi Wibowo   +2 more
doaj   +1 more source

A NEW THINKING OF LULC CLASSIFICATION ACCURACY ASSESSMENT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Abstract. A majority of studies involving remote sensing LULC classification conducted classification accuracy assessment without consideration of the training data uncertainty. In this study we present new concepts of LULC classification accuracies, namely the training-sample-based global accuracy and the classifier global accuracy, and a general ...
K. S. Cheng, K. S. Cheng, J. Y. Ling, T. W. Lin, Y. T. Liu, Y. C. Shen, Y. Kono   +6 more
openaire   +3 more sources

Modeling Land Use and Land Cover Dynamic Using Geographic Information System and Markov-CA

Geosfera Indonesia, 2020
The need for built-up area increases along with a rise in population growth in many regions. This phenomenon leads to a tremendous change in agricultural land and decrease in the environmental carrying capacity.
Millary Agung Widiawaty, Arif Ismail, Moh. Dede, N. Nurhanifah   +3 more
doaj   +1 more source

Do natural landscapes contribute to reducing Land Surface Temperature (LST)? A case study from Muthurajawela wetland, Sri Lanka

Journal of Degraded and Mining Lands Management, 2022
Microclimate regulation is one of the most significant ecosystem services provided by wetlands. The present study attempted to investigate the cooling effect provided by Muthurajawela, a coastal Ramsar wetland using Remote Sensing and GIS.  The variation
Harsha Dahanayake, Deepthi Wickramasinghe, DDGL Dahanayaka   +2 more
doaj   +1 more source

LULC classification by semantic segmentation of satellite images using FastFCN [PDF]

2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), 2020
This paper analyses how well a Fast Fully Convolutional Network (FastFCN) semantically segments satellite images and thus classifies Land Use/Land Cover(LULC) classes. Fast-FCN was used on Gaofen-2 Image Dataset (GID-2) to segment them in five different classes: BuiltUp, Meadow, Farmland, Water and Forest.
Onim, Md. Saif Hassan, Ehtesham, Aiman Rafeed, Anbar, Amreen, Islam, A. K. M. Nazrul, Rahman, A. K. M. Mahbubur   +4 more
openaire   +2 more sources

The Detection of Past and Future Land Use and Land Cover Change in Ugam Chatkal National Park, Uzbekistan, Using CA-Markov and Random Forest Machine Learning Algorithms

Forum Geografi
This comprehensive study investigates land use and land cover (LULC) changes in Ugam Chatkal Na-tional Park, Uzbekistan, over a 30-year period from 1993 to 2022 with Landsat satellite images.
Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev   +2 more
doaj   +1 more source

Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest

Geocarto International, 2023
We used the Cellular Automata Markov (CA-Markov) integrated technique to study land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab, Pakistan.
Muhammad Asif, Jamil Hasan Kazmi, Aqil Tariq, Na Zhao, Rufat Guluzade, Walid Soufan, Khalid F. Almutairi, Ayman El Sabagh, Muhammad Aslam   +8 more
doaj   +1 more source