AerialWaste: a professionally curated dataset for waste detection in aerial images,
2023.
WWW Link.
Dataset, Garbage. AerialWaste is a dataset for landfill detection featuring airborne,
WorldView-3, and GoogleEarth images annotated by professional photo
interpreters. AerialWaste contains 10,434 images generated from tiles
of three different sources: AGEA Orthophotos (20 cm GSD),
WorldView-3 (30 cm GSD) and GoogleEarth (50 cm GSD).
Incekara, A.H.[Abdullah Harun],
Delen, A.[Ahmet],
Seker, D.Z.[Dursun Zafer],
Goksel, C.[Cigdem],
Investigating the Utility Potential of Low-Cost Unmanned Aerial
Vehicles in the Temporal Monitoring of a Landfill,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Lyimo, N.N.[Neema Nicodemus],
Shao, Z.F.[Zhen-Feng],
Ally, A.M.[Ally Mgelwa],
Twumasi, N.Y.D.[Nana Yaw Danquah],
Altan, O.[Orhan],
Sanga, C.A.[Camilius A.],
A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open
Geospatial Data on Landfill Suitability Analysis,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Torres, R.N.[Rocio Nahime],
Fraternali, P.[Piero],
Learning to Identify Illegal Landfills through Scene Classification
in Aerial Images,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Zhang, S.[Shuai],
Lv, Y.H.[Yun-Hong],
Yang, H.[Haiben],
Han, Y.Y.[Ying-Yue],
Peng, J.Y.[Jing-Yu],
Lan, J.W.[Ji-Wu],
Zhan, L.T.[Liang-Tong],
Chen, Y.[Yunmin],
Bate, B.[Bate],
Monitoring and Quantitative Human Risk Assessment of Municipal Solid
Waste Landfill Using Integrated Satellite-UAV-Ground Survey Approach,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Qureshi, S.[Salman],
Shorabeh, S.N.[Saman Nadizadeh],
Samany, N.N.[Najmeh Neysani],
Minaei, F.[Foad],
Homaee, M.[Mehdi],
Nickravesh, F.[Fatemeh],
Firozjaei, M.K.[Mohammad Karimi],
Arsanjani, J.J.[Jamal Jokar],
A New Integrated Approach for Municipal Landfill Siting Based on
Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in
Iran,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Liu, J.[Jiamin],
Li, Y.[Yueshi],
Xiao, B.[Bin],
Jiao, J.[Jizong],
Coupling Fuzzy Multi-Criteria Decision-Making and Clustering
Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou,
China),
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Du, Y.[Yanan],
Fu, H.Q.[Hai-Qiang],
Liu, L.[Lin],
Feng, G.C.[Guang-Cai],
Wen, D.[Debao],
Peng, X.[Xing],
Ding, H.X.[Hua-Xiang],
Continued Monitoring and Modeling of Xingfeng Solid Waste Landfill
Settlement, China, Based on Multiplatform SAR Images,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Nguyen, D.T.[Dinh-Thanh],
Truong, M.H.[Minh-Hoang],
Ngo, T.P.U.[Thi-Phuong-Uyen],
Le, A.M.[Anh-Minh],
Yamato, Y.Y.[Yu-Ya],
GIS-Based Simulation for Landfill Site Selection in Mekong Delta:
A Specific Application in Ben Tre Province,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Rodrigo-Ilarri, J.[Javier],
Rodrigo-Clavero, M.E.[María-Elena],
Romero, C.P.[Claudia P.],
Suárez-Romero, P.[Patricio],
Do Solid Waste Landfills Really Affect Land Use Change? Answers Using
the Weighted Environmental Index (WEI),
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Elkhrachy, I.[Ismail],
Alhamami, A.[Ali],
Alyami, S.H.[Saleh H.],
Landfill Site Selection Using Multi-Criteria Decision Analysis,
Remote Sensing Data, and Geographic Information System Tools in
Najran City, Saudi Arabia,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Aksoy, E.,
San, B.T.,
Using Mcda and GIS For Landfill Site Selection: Central Districts Of
Antalya Province,
ISPRS16(B2: 151-157).
DOI Link
1610
BibRef
Abujayyab, S.K.M.,
Ahamad, M.S.S.,
Yahya, A.S.,
Aziz, H.A.,
Spatial Data Mining Toolbox for Mapping Suitability of Landfill Sites
Using Neural Networks,
GGT16(199-208).
DOI Link
1612
BibRef
Issa, S.M.,
Al Shehhi, B.,
A GIS-based Multi-criteria Evaluation System For Selection Of Landfill
Sites: a case study from Abu Dhabi, United Arab Emirates,
ISPRS12(XXXIX-B2:133-138).
DOI Link
1209
BibRef
Shaker, A.[Ahmed],
Yan, W.Y.[Wai Yeung],
Environmental monitoring of landfill sites using multi-temporal Landsat
imagery,
CGC10(154).
PDF File.
1006
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
GIS for Transportation, Roads .