Results 31 to 40 of about 22,574 (211)

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

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  

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

Performance evaluation of Machine Learning algorithms for LULC classification: A case study of Fez-Meknes region [PDF]

E3S Web of Conferences
Significant advancements have been made in remote sensing technologies, with increasingly refined applications in creating LULC maps. The integration of Machine Learning-based approaches has been explored to develop LULC maps with varying levels of ...
Khaldi Loubna, Elabed Alae, El Khanchoufi Abdessalam   +2 more
doaj   +1 more source

Land Use and Land Cover (LULC) Change in Eastern Areas of East Java From 1972 To 2021: Learning From Landsat Image

Jurnal Teknik Pertanian Lampung, 2023
Urban development, population growth, high traffic jams, and intensive disaster events are indicators of changing the landscape of the eastern area of East Java. Investigating these changes is vital for planning and environmental protection in the future.
Marga Mandala, Indarto Indarto, Ach. Fauzan Mas'udi, Akhmad Andi Saputra   +3 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

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

Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria

Reports on Geodesy and Geoinformatics, 2020
For several decades, Nigerian cities have been experiencing a decline in their biodiversity resulting from rapid land use land cover (LULC) changes. Anticipating short/long-term consequences, this study hypothesised the effects of LULC variables in Akure,
Aliyu Yahaya A., Youngu Terwase T., Abubakar Aliyu Z., Bala Adamu, Jesulowo Christianah I.   +4 more
doaj   +1 more source

Assessment of Groundwater Vulnerability Using Lulc Map and DRASTIC Technique in Bahr AL-Najaf Area, Middle of Iraq

Tikrit Journal of Engineering Sciences, 2019
Groundwater is the greatest significant source of water in the Bahr Al-Najaf area. In this research the DRASTIC technique has been utilized, to produce a map of ground water vulnerability for the area.
Ali H. Al-Aboodi, Zaid N. Hashim
doaj   +1 more source