Remote Sensing Assessment of Multi-Decadal Land-Use Change and ESV Decline in Peri-Urban Highland Corridors: The Case of the Santa-Babadjou Corridor in Cameroon
Rapid peri-urbanization in agricultural highland corridors can erode natural capital and undermine water security, yet few studies provide spatially explicit, multi-decadal valuations of ecosystem services for such rurbanizing landscapes. Here, we quantified land-use/land-cover (LULC) dynamics and ecosystem service valuation (ESV) for the Santa-Babadjou corridor from 1980-2024 using multi-temporal Landsat imagery, rigorous preprocessing (radiometric correction), k-means classification into five LULC classes, and benefit-transfer valuation based on Costanza’s coefficients to estimate total ESV and 17 ecosystem functions. Results reveal significant landscape and value losses, with built-up expanding from 4,430 ha (6.1%) to 32,709.5 ha (44.9%) in 2024, while forest cover fell from 26,783 ha (36.7%) to 6,620.7 ha (9.1%) (?75.3%) and grasslands from 27,929.6 ha (38.3%) to 11,848.3 ha (16.2%) (?57.6%). Correspondingly, total ESV collapsed from US$220.12 million in 1980 to US$33.70 million in 2024 (?84.7%), with the steepest losses occurring in the period after 2010, in which forests and grasslands, which contributed ≈99% of ESV in 1980, dropped to US$2.20 M and US$9.97 M respectively by 2024. Functionally, provisioning, regulating, supporting, and cultural service totals all declined markedly, with provisioning services falling from US$108.2M to US$58.8 M; regulating from US$90.2 M to US$48.4 M. Cumulatively, these changes signal widespread degradation in hydrological regulation, soil retention, and biodiversity support. These spatially explicit, quantitative findings highlight that unplanned settlement and agricultural intensification are compromising the corridor’s natural capital and water-security functions. We therefore recommend immediate policy action to protect the remaining forest and recharge zones, restore degraded catchments using nature-based solutions, and integrate ESV metrics into land-use planning and participatory decision-making to arrest value loss and rebuild resilience.
References
[1]
Bigirwa, D., Philip, D. and Mombo, F. (2025) Economic Valuation of Natural Water Purification Services: Addressing the Undervaluation of Non-Marketed Water Ecosystem Services in Tanzania’s Lower Rufiji Sub-Basin. Journal of Environmental Management, 392, Article ID: 126805. https://doi.org/10.1016/j.jenvman.2025.126805
[2]
Chen, H. and Costanza, R. (2024) Valuation and Management of Desert Ecosystems and Their Services. EcosystemServices, 66, Article ID: 101607. https://doi.org/10.1016/j.ecoser.2024.101607
[3]
Costanza, R. (2024) Misconceptions about the Valuation of Ecosystem Services. EcosystemServices, 70, Article ID: 101667. https://doi.org/10.1016/j.ecoser.2024.101667
[4]
Khan, S.U., Guo, X., Hu, J., Khan, A.A., Talpur, M.A., Liu, G., et al. (2022) Who Cares and How Much? Narrative for Advances in Aquatic Ecosystem Services through Non-Market Valuation with Spatial Dimensions Using a Discrete Choice Experiment. JournalofCleanerProduction, 337, Article ID: 130603. https://doi.org/10.1016/j.jclepro.2022.130603
[5]
Taffarello, D., Bittar, M.S., Sass, K.S., Calijuri, M.C., Cunha, D.G.F. and Mendiondo, E.M. (2020) Ecosystem Service Valuation Method through Grey Water Footprint in Partially-Monitored Subtropical Watersheds. ScienceoftheTotalEnvironment, 738, Article ID: 139408. https://doi.org/10.1016/j.scitotenv.2020.139408
[6]
Stoeckl, N., Costanza, R., Dorji, N., Kubiszewski, I., Limenih, B., Tian, J., et al. (2025) Valuing the Reciprocating Services That Humans Can Provide to Ecosystems. EcologicalIndicators, 174, Article ID: 113496. https://doi.org/10.1016/j.ecolind.2025.113496
[7]
Gao, F., Zhou, J., Jiang, H., Yang, W. and Wang, G. (2024) Assessing the True Value of Ecological Restoration in Mining Areas: An Input-Output Approach Based on Ecosystem Service Valuation. EcologicalIndicators, 166, Article ID: 112591. https://doi.org/10.1016/j.ecolind.2024.112591
[8]
Hackbart, V.C.S., de Lima, G.T.N.P. and dos Santos, R.F. (2017) Theory and Practice of Water Ecosystem Services Valuation: Where Are We Going? EcosystemServices, 23, 218-227. https://doi.org/10.1016/j.ecoser.2016.12.010
[9]
Hatan, S., Fleischer, A. and Tchetchik, A. (2021) Economic Valuation of Cultural Ecosystem Services: The Case of Landscape Aesthetics in the Agritourism Market. EcologicalEconomics, 184, Article ID: 107005. https://doi.org/10.1016/j.ecolecon.2021.107005
[10]
Kang, N., Hou, L., Huang, J. and Liu, H. (2022) Ecosystem Services Valuation in China: A Meta-Analysis. ScienceoftheTotalEnvironment, 809, Article ID: 151122. https://doi.org/10.1016/j.scitotenv.2021.151122
[11]
Acharya, R.P., Maraseni, T. and Cockfield, G. (2019) Global Trend of Forest Ecosystem Services Valuation—An Analysis of Publications. EcosystemServices, 39, Article ID: 100979. https://doi.org/10.1016/j.ecoser.2019.100979
[12]
Amirnejad, H., Hosseini, S. and Azadi, H. (2025) Evaluation and Valuation of Tajan River Basin Ecosystem Services. Ecohydrology&Hydrobiology, 25, 238-249. https://doi.org/10.1016/j.ecohyd.2024.03.005
[13]
Primmer, E. and Furman, E. (2024) How Have Measuring, Mapping and Valuation Enhanced Governance of Ecosystem Services? EcosystemServices, 67, Article ID: 101612. https://doi.org/10.1016/j.ecoser.2024.101612
[14]
Spence, D.S., Baulch, H.M. and Lloyd-Smith, P. (2023) Collaborative Valuation of Ecosystem Services to Inform Lake Remediation. EnvironmentalScience&Policy, 150, Article ID: 103595. https://doi.org/10.1016/j.envsci.2023.103595
[15]
Albaladejo-García, J.A., Alcon, F., Martínez-Carrasco, F. and Martínez-Paz, J.M. (2023) Understanding Socio-Spatial Perceptions and Badlands Ecosystem Services Valuation. Is There Any Welfare in Soil Erosion? LandUsePolicy, 128, Article ID: 106607. https://doi.org/10.1016/j.landusepol.2023.106607
[16]
Aryal, K., Ojha, B.R. and Maraseni, T. (2021) Perceived Importance and Economic Valuation of Ecosystem Services in Ghodaghodi Wetland of Nepal. LandUsePolicy, 106, Article ID: 105450. https://doi.org/10.1016/j.landusepol.2021.105450
[17]
Bélisle, A.C., Wapachee, A. and Asselin, H. (2021) From Landscape Practices to Ecosystem Services: Landscape Valuation in Indigenous Contexts. EcologicalEconomics, 179, Article ID: 106858. https://doi.org/10.1016/j.ecolecon.2020.106858
[18]
Dai, P., Zhang, S., Gong, Y., Zhou, Y. and Hou, H. (2022) A Crowd-Sourced Valuation of Recreational Ecosystem Services Using Mobile Signal Data Applied to a Restored Wetland in China. EcologicalEconomics, 192, Article ID: 107249. https://doi.org/10.1016/j.ecolecon.2021.107249
[19]
Fleischer, A., Gindin, Y. and Tsur, Y. (2025) Integrating Recreational Ecosystem Service Valuations into Israel’s Water Economy. EcologicalEconomics, 227, Article ID: 108391. https://doi.org/10.1016/j.ecolecon.2024.108391
[20]
Azadi, H., Van Passel, S. and Cools, J. (2021) Rapid Economic Valuation of Ecosystem Services in Man and Biosphere Reserves in Africa: A Review. GlobalEcologyandConservation, 28, e01697. https://doi.org/10.1016/j.gecco.2021.e01697
[21]
Cubillo, A.M., Lopes, A.S., Ferreira, J.G., Moore, H., Service, M. and Bricker, S.B. (2023) Quantification and Valuation of the Potential of Shellfish Ecosystem Services in Mitigating Coastal Eutrophication. Estuarine, CoastalandShelfScience, 293, Article ID: 108469. https://doi.org/10.1016/j.ecss.2023.108469
[22]
Fassina, C., Jarvis, D., Tavares, S. and Coggan, A. (2022) Valuation of Ecosystem Services through Offsets: Why Are Coastal Ecosystems More Valuable in Australia than in Brazil? EcosystemServices, 56, Article ID: 101449. https://doi.org/10.1016/j.ecoser.2022.101449
[23]
Aznarez, C., Pacheco, J.P., Domínguez, M.C., Gadino, I., Inda, H. and Castellarini, F. (2025) Green Gentrification Drives Socio-Cultural Shifts from Provisioning to Cultural Valuation of Ecosystem Services. EcosystemServices, 73, Article ID: 101731. https://doi.org/10.1016/j.ecoser.2025.101731
[24]
Garrido Mateos, L., Rodríguez-López, F. and Sánchez-Macías, J.I. (2025) The Three-Stage Evolution in the Economic Valuation of Nature: Externalities, Ecosystem Services, and Natural Capital Accountability. JournalofCleanerProduction, 518, Article ID: 145899. https://doi.org/10.1016/j.jclepro.2025.145899
[25]
Barbier, E.B. (2016) The Protective Service of Mangrove Ecosystems: A Review of Valuation Methods. MarinePollutionBulletin, 109, 676-681. https://doi.org/10.1016/j.marpolbul.2016.01.033
[26]
Bronzes, A., Hein, L., Groeneveld, R. and Pulatov, A. (2025) A Comparison of Valuation Methods for Cultural Ecosystem Services in Support of Ecosystem Accounting. OneEcosystem, 10, e108556. https://doi.org/10.3897/oneeco.10.e108556
[27]
Chen, H. (2020) Land Use Trade-Offs Associated with Protected Areas in China: Current State, Existing Evaluation Methods, and Future Application of Ecosystem Service Valuation. ScienceoftheTotalEnvironment, 711, Article ID: 134688. https://doi.org/10.1016/j.scitotenv.2019.134688
[28]
Hattam, C., Böhnke-Henrichs, A., Börger, T., Burdon, D., Hadjimichael, M., Delaney, A., et al. (2015) Integrating Methods for Ecosystem Service Assessment and Valuation: Mixed Methods or Mixed Messages? EcologicalEconomics, 120, 126-138. https://doi.org/10.1016/j.ecolecon.2015.10.011
[29]
Morando-Figueroa, C.Z., Salazar-Briones, C., Ruiz-Gibert, J.M. and Lomelí-Banda, M.A. (2023) Ecosystem Services Valuation in Developing Countries: A Review of Methods and Applicability Approach. ProceedingsoftheInstitutionofCivilEngineers—UrbanDesignandPlanning, 176, 6-22. https://doi.org/10.1680/jurdp.21.00045
[30]
Schmidt, K., Walz, A., Martín-López, B. and Sachse, R. (2017) Testing Socio-Cultural Valuation Methods of Ecosystem Services to Explain Land Use Preferences. EcosystemServices, 26, 270-288. https://doi.org/10.1016/j.ecoser.2017.07.001
[31]
Vo, Q.T., Kuenzer, C., Vo, Q.M., Moder, F. and Oppelt, N. (2012) Review of Valuation Methods for Mangrove Ecosystem Services. EcologicalIndicators, 23, 431-446. https://doi.org/10.1016/j.ecolind.2012.04.022
[32]
Costanza, R., d’Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, G., et al. (1996) The Value of the World’s Ecosystem Services and Natural Capital. Nature, 387, 253-260.
[33]
Chen, H. (2020) Complementing Conventional Environmental Impact Assessments of Tourism with Ecosystem Service Valuation: A Case Study of the Wulingyuan Scenic Area, China. EcosystemServices, 43, Article ID: 101100. https://doi.org/10.1016/j.ecoser.2020.101100
[34]
Awazi, N.P., Tientcheu-Avana, M., Temgoua, L.F., Tsufac, A.R., Forje, G.W., Cedric, C.D., et al. (2024) Agroforestry-Based Bioeconomy Transition in Cameroon: Realities and the Way Forward. In: Singh, K., Ribeiro, M.C. and Calicioglu, Ö., Eds., BiodiversityandBioeconomy, Elsevier, 295-324. https://doi.org/10.1016/b978-0-323-95482-2.00014-6
[35]
Zangmo Tefogoum, G., Kagou Dongmo, A., Nkouathio, D.G. and Gountié Dedzo, M. (2022) The Geodiversity of Lefo and Santa-Mbu Calderas (Bamenda Mountains, Cameroon Volcanic Line): Factor for Socioeconomic Activities. InternationalJournalofGeoheritageandParks, 10, 491-506. https://doi.org/10.1016/j.ijgeop.2022.08.009
[36]
Saha, S., Bera, B., Shit, P.K., Bhattacharjee, S. and Sengupta, N. (2022) Estimation of Carbon Budget through Carbon Emission-Sequestration and Valuation of Ecosystem Services in the Extended Part of Chota Nagpur Plateau (India). JournalofCleanerProduction, 380, Article ID: 135054. https://doi.org/10.1016/j.jclepro.2022.135054
[37]
Asming, M.A.A., Ibrahim, A.M. and Abir, I.M. (2022) Processing and Classification of Landsat and Sentinel Images for Oil Palm Plantation Detection. RemoteSensingApplications: SocietyandEnvironment, 26, Article ID: 100747. https://doi.org/10.1016/j.rsase.2022.100747
[38]
Miranda, J.d.R., Alves, M.d.C., Pozza, E.A. and Santos Neto, H. (2020) Detection of Coffee Berry Necrosis by Digital Image Processing of Landsat 8 Oli Satellite Imagery. InternationalJournalofAppliedEarthObservationandGeoinformation, 85, Article ID: 101983. https://doi.org/10.1016/j.jag.2019.101983
[39]
Page, B.P., Olmanson, L.G. and Mishra, D.R. (2019) A Harmonized Image Processing Workflow Using Sentinel-2/MSI and Landsat-8/OLI for Mapping Water Clarity in Optically Variable Lake Systems. RemoteSensingofEnvironment, 231, Article ID: 111284. https://doi.org/10.1016/j.rse.2019.111284
[40]
Shen, F., Li, J. and Chen, Z. (2025) Comment on “Remote Sensing Estimation of Dissolved Organic Carbon Concentrations in Chinese Lakes Based on Landsat Images” by Zhilong Zhao, Kun Shi and Yunlin Zhang. JournalofHydrology, 662, Article ID: 133990. https://doi.org/10.1016/j.jhydrol.2025.133990
[41]
Yan, L. and Roy, D.P. (2025) Using Landsat 8 and 9 Operational Land Imager (OLI) Data to Characterize Geometric Distortion and Improve Geometric Correction of Landsat Multispectral Scanner (MSS) Imagery. RemoteSensingofEnvironment, 321, Article ID: 114679. https://doi.org/10.1016/j.rse.2025.114679
[42]
Aires, U.R.V., Martins, V.S., Ferreira, L.B., Huang, Y., Heintzman, L. and Ouyang, Y. (2025) Impact of Sampling Techniques on Crop Type Mapping Using Multi-Temporal Composites from Harmonized Landsat-Sentinel Images. ComputersandElectronicsinAgriculture, 237, Article ID: 110676. https://doi.org/10.1016/j.compag.2025.110676
[43]
Costanza, R. (2020) Valuing Natural Capital and Ecosystem Services toward the Goals of Efficiency, Fairness, and Sustainability. EcosystemServices, 43, Article ID: 101096. https://doi.org/10.1016/j.ecoser.2020.101096
[44]
Chen, H., Costanza, R., Kubiszewski, I., Sloggy, M.R., Wu, L. and Zhang, T. (2024) Integrating Online Deliberation into Ecosystem Service Valuation. JournalofEnvironmentalManagement, 351, Article ID: 119796. https://doi.org/10.1016/j.jenvman.2023.119796
[45]
Abd-Elmaboud, M.E., Saqr, A.M., El-Rawy, M., Al-Arifi, N. and Ezzeldin, R. (2024) Evaluation of Groundwater Potential Using Ann-Based Mountain Gazelle Optimization: A Framework to Achieve Sdgs in East El Oweinat, Egypt. JournalofHydrology: RegionalStudies, 52, Article ID: 101703. https://doi.org/10.1016/j.ejrh.2024.101703
[46]
Alarifi, S.S., Abdelrahman, K. and Hazaea, B.Y. (2022) Depicting of Groundwater Potential in Hard Rocks of Southwestern Saudi Arabia Using the Vertical Electrical Sounding Approach. JournalofKingSaudUniversity—Science, 34, Article ID: 102221. https://doi.org/10.1016/j.jksus.2022.102221
[47]
Arefin, R. (2020) Groundwater Potential Zone Identification at Plio-Pleistocene Elevated Tract, Bangladesh: AHP-GIS and Remote Sensing Approach. GroundwaterforSustainableDevelopment, 10, Article ID: 100340. https://doi.org/10.1016/j.gsd.2020.100340
[48]
Bhadran, A., Girishbai, D., Jesiya, N.P., Gopinath, G., Krishnan, R.G. and Vijesh, V.K. (2022) A GIS Based Fuzzy-AHP for Delineating Groundwater Potential Zones in Tropical River Basin, Southern Part of India. GeosystemsandGeoenvironment, 1, Article ID: 100093. https://doi.org/10.1016/j.geogeo.2022.100093
[49]
Boum-Nkot, S.N., Nlend, B., Komba, D., Ndondo, G.R.N., Bello, M., Fongoh, E.J., et al. (2023) Hydrochemistry and Assessment of Heavy Metals Groundwater Contamination in an Industrialized City of Sub-Saharan Africa (Douala, Cameroon). Implication on Human Health. HydroResearch, 6, 52-64. https://doi.org/10.1016/j.hydres.2023.01.003
[50]
Choudhury, T.R., Moniruzzaman, M., Anonna, T.A., Asad, H.A., Samanta, P. and Islam, F. (2025) Evaluation of Heavy Metal Contamination in Soil, Water, and Fish in an Industrial Zone in Bangladesh: Ecological and Potential Health Risk. RegionalStudiesinMarineScience, 86, Article ID: 104162. https://doi.org/10.1016/j.rsma.2025.104162
[51]
Czauner, B., Simon, S. and Mádl-Szőnyi, J. (2024) How to Consider Groundwater Flow Systems in the Earth’s Critical Zone?—Demonstration in the Central Pannonian Basin, Hungary. JournalofHydrology: RegionalStudies, 53, Article ID: 101833. https://doi.org/10.1016/j.ejrh.2024.101833
[52]
Dhinsa, D., Tamiru, F. and Tadesa, B. (2022) Groundwater Potential Zonation Using VES and GIS Techniques: A Case Study of Weserbi Guto Catchment in Sululta, Oromia, Ethiopia. Heliyon, 8, e10245. https://doi.org/10.1016/j.heliyon.2022.e10245
[53]
Ejaz, N., Khan, A.H., Saleem, M.W., Elfeki, A.M., Rahman, K.U., Hussain, S., et al. (2024) Multi-Criteria Decision-Making Techniques for Groundwater Potentiality Mapping in Arid Regions: A Case Study of Wadi Yiba, Kingdom of Saudi Arabia. GroundwaterforSustainableDevelopment, 26, Article ID: 101223. https://doi.org/10.1016/j.gsd.2024.101223
[54]
El-Sayed, H.M. and Elgendy, A.R. (2024) Geospatial and Geophysical Insights for Groundwater Potential Zones Mapping and Aquifer Evaluation at Wadi Abu Marzouk in El-Nagila, Egypt. EgyptianJournalofAquaticResearch, 50, 23-35. https://doi.org/10.1016/j.ejar.2023.12.008
[55]
Falowo, O.O. and Ojo, O. (2023) Multi-criteria Groundwater Potential Zonation Using GIS-Based Fuzzified AHP: Case Study of Ondo Metropolis Southwestern Nigeria. SolidEarthSciences, 8, 319-344. https://doi.org/10.1016/j.sesci.2023.11.002
[56]
Fildes, S.G., Bruce, D., Clark, I.F., Raimondo, T., Keane, R. and Batelaan, O. (2022) Integrating Spatially Explicit Sensitivity and Uncertainty Analysis in a Multi-Criteria Decision Analysis-Based Groundwater Potential Zone Model. JournalofHydrology, 610, Article ID: 127837. https://doi.org/10.1016/j.jhydrol.2022.127837
[57]
Fotsing Metegam, I.F. (2025) Monte Carlo and Fuzzy AHP with GIS for Ranking Hybrid Solar-Wind Sites for Electricity and Hydrogen Production in Cameroon. InternationalJournalofHydrogenEnergy, 106, 741-766. https://doi.org/10.1016/j.ijhydene.2025.01.418
[58]
Gaur, S., Chahar, B.R. and Graillot, D. (2011) Combined Use of Groundwater Modeling and Potential Zone Analysis for Management of Groundwater. InternationalJournalofAppliedEarthObservationandGeoinformation, 13, 127-139. https://doi.org/10.1016/j.jag.2010.09.001
[59]
Martínez de Icaya-Gómez, E., Martínez-Izquierdo, E., Hernández-Viñas, M. and Naranjo-Hernández, J.E. (2025) Reduced Dimensionality Space of Features Using Spectral Indices for Detecting Changes in Multitemporal Landsat-8 Images. EcologicalInformatics, 87, Article ID: 103090. https://doi.org/10.1016/j.ecoinf.2025.103090
[60]
Gidafie, D., Nedaw, D. and Azagegn, T. (2024) Integrated Remote Sensing and Geographic Information System Overlay Analysis for Groundwater Potential Evaluation Using AHP and Fuzzy AHP: Southern Sections of the Western Afar Rift Margin and Associated Rift Floor. GroundwaterforSustainableDevelopment, 26, Article ID: 101310. https://doi.org/10.1016/j.gsd.2024.101310
[61]
Li, J., Jiang, Z., Miao, H., Liang, J., Yang, Z., Zhang, Y., et al. (2022) Identification of Cultivated Land Change Trajectory and Analysis of Its Process Characteristics Using Time-Series Landsat Images: A Study in the Overlapping Areas of Crop and Mineral Production in Yanzhou City, China. ScienceoftheTotalEnvironment, 806, Article ID: 150318. https://doi.org/10.1016/j.scitotenv.2021.150318
[62]
Abdelmalik, K.W. (2020) Landsat 8: Utilizing Sensitive Response Bands Concept for Image Processing and Mapping of Basalts. TheEgyptianJournalofRemoteSensingandSpaceScience, 23, 263-274. https://doi.org/10.1016/j.ejrs.2019.04.004
[63]
Al-Obeidat, F., Al-Taani, A.T., Belacel, N., Feltrin, L. and Banerjee, N. (2015) A Fuzzy Decision Tree for Processing Satellite Images and Landsat Data. ProcediaComputerScience, 52, 1192-1197. https://doi.org/10.1016/j.procs.2015.05.157
[64]
Sambandham, V.T., Kirchheim, K., Ortmeier, F. and Mukhopadhaya, S. (2024) Deep Learning-Based Harmonization and Super-Resolution of Landsat-8 and Sentinel-2 Images. ISPRSJournalofPhotogrammetryandRemoteSensing, 212, 274-288. https://doi.org/10.1016/j.isprsjprs.2024.04.026
[65]
Lasanta, T. and Vicente-Serrano, S.M. (2012) Complex Land Cover Change Processes in Semiarid Mediterranean Regions: An Approach Using Landsat Images in Northeast Spain. RemoteSensingofEnvironment, 124, 1-14. https://doi.org/10.1016/j.rse.2012.04.023
[66]
Härkönen, S., Lehtonen, A., Eerikäinen, K., Peltoniemi, M. and Mäkelä, A. (2011) Estimating Forest Carbon Fluxes for Large Regions Based on Process-Based Modelling, NFI Data and Landsat Satellite Images. ForestEcologyandManagement, 262, 2364-2377. https://doi.org/10.1016/j.foreco.2011.08.035
[67]
Chen, S., Wang, G., Xu, X., Ouyang, Z., Li, R., Remo, J.W., et al. (2025) A Mixed Training Sample-Based Spectral Unmixing Analysis for Improving Fractional Abundance Estimation of Detroit Landscape Endmembers Using Landsat Images. UrbanForestry&UrbanGreening, 107, Article ID: 128786. https://doi.org/10.1016/j.ufug.2025.128786
[68]
Li, J., Wang, Y., Sheng, Q., Wu, Z., Wang, B., Ling, X., et al. (2025) Cloudruler: Rule-Based Transformer for Cloud Removal in Landsat Images. RemoteSensingofEnvironment, 328, Article ID: 114913. https://doi.org/10.1016/j.rse.2025.114913
[69]
Cormier, E.C., Devred, E., Wilson, K.L., Smukall, M.J., Fuentes, M.M.P.B. and Lotze, H.K. (2025) Analysis of Two Decades of Landsat Satellite Images Reveals Long-Term Changes in Aquatic and Terrestrial Vegetation in Bimini, the Bahamas with Coastal Development. FACETS, 10, 1-18. https://doi.org/10.1139/facets-2024-0020
[70]
Suneetha, C., Kumar, L.S., Sreenivas, K. and Mitran, T. (2025) Deep Learning-Driven Soil Texture Classifier Using Landsat 8 Images. RemoteSensingApplications: SocietyandEnvironment, 38, Article ID: 101568. https://doi.org/10.1016/j.rsase.2025.101568
[71]
Gunsola, A., Nautiyal, A. and Bhatia, S.Y. (2025) LULC Classification of Tehri Region Using Landsat 7 & 8 Satellite Images. ProcediaComputerScience, 260, 957-963. https://doi.org/10.1016/j.procs.2025.03.279
[72]
Badamfirooz, J., Mousazadeh, R. and Sarkheil, H. (2021) A Proposed Framework for Economic Valuation and Assessment of Damages Cost to National Wetlands Ecosystem Services Using the Benefit-Transfer Approach. EnvironmentalChallenges, 5, Article ID: 100303. https://doi.org/10.1016/j.envc.2021.100303
[73]
Sobhani, P., Esmaeilzadeh, H. and Mobarghaei Dinan, N. (2025) Prioritization and Valuation of Ecosystem Services in Protected Areas. JournalforNatureConservation, 84, Article ID: 126804. https://doi.org/10.1016/j.jnc.2024.126804
[74]
Bezerra, L.A.V., Garcez, D.S., Campos da Silva, M., Gurgel-Lourenço, R.C., Pinto, L.M., Valentim, G.A., et al. (2025) Brvaluation: A Systematic Comparison of Ecosystem Services across Brazilian Biomes and Ecosystems. EnvironmentalDevelopment, 56, Article ID: 101279. https://doi.org/10.1016/j.envdev.2025.101279
[75]
Dashtbozorgi, F., Hedayatiaghmashhadi, A., Dashtbozorgi, A., Ruiz-Agudelo, C.A., Fürst, C., Cirella, G.T., et al. (2023) Ecosystem Services Valuation Using Invest Modeling: Case from Southern Iranian Mangrove Forests. RegionalStudiesinMarineScience, 60, Article ID: 102813. https://doi.org/10.1016/j.rsma.2023.102813
[76]
Garshasbi, F., Ashournejad, Q. and Ghalenoei, N. (2025) A Comparative Assessment of Remote Sensing Based Land Cover Products for Economic Valuation of Ecosystem Services of Hyrcanian Forests. AdvancesinSpaceResearch, 75, 4552-4574. https://doi.org/10.1016/j.asr.2024.12.064
[77]
Mono, J.A., Bouba, A., Ngoh, J.D., Amougou, O.U.I.O., Nyam, F.M.E.A. and Mbarga, T.N. (2024) Lineament Mapping in Batie Area (West-Cameroon) Using Landsat-9 Operational Land Imager/thermal Infrared Sensor and Shuttle Radar Topography Mission Data: Hydrogeological Implication. RevueInternationaledeGéomatique, 33, 135-154. https://doi.org/10.32604/rig.2024.049966
[78]
Himes-Cornell, A., Pendleton, L. and Atiyah, P. (2018) Valuing Ecosystem Services from Blue Forests: A Systematic Review of the Valuation of Salt Marshes, Sea Grass Beds and Mangrove Forests. EcosystemServices, 30, 36-48. https://doi.org/10.1016/j.ecoser.2018.01.006
[79]
Naime, J., Mora, F., Sánchez-Martínez, M., Arreola, F. and Balvanera, P. (2020) Economic Valuation of Ecosystem Services from Secondary Tropical Forests: Trade-Offs and Implications for Policy Making. ForestEcologyandManagement, 473, Article ID: 118294. https://doi.org/10.1016/j.foreco.2020.118294
[80]
Duan, C., et al. (2025) Monitoring Abandoned Cropland in the Hilly and Gully Regions of the Loess Plateau Using Landsat Time Series Images. JournalofIntegrativeAgriculture. https://doi.org/10.1016/j.jia.2025.04.021
[81]
Altuwaijri, H.A., Kafy, A.A. and Rahaman, Z.A. (2025) Multi-temporal Remote Sensing and Geospatial Analysis for Urban Ecosystem Service Dynamics: A Three-Decade Assessment of Land Surface Transformation in Jeddah, Saudi Arabia. PhysicsandChemistryoftheEarth, PartsA/B/C, 139, Article ID: 103892. https://doi.org/10.1016/j.pce.2025.103892