92 citations as recorded by crossref.

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43. Land Cover Mapping for Namdapha National Park (Arunachal Pradesh), India Using Harmonized Land Cover Legends M. Lodhi et al. 10.1007/s12524-013-0326-8
44. Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products J. Lai et al. 10.1016/j.isprsjprs.2018.03.012
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48. Use of MODIS Sensor Images Combined with Reanalysis Products to Retrieve Net Radiation in Amazonia G. de Oliveira et al. 10.3390/s16070956
49. Assessment of long time-series greening signatures across the urban–rural gradient in Chinese cities L. Yao 10.1016/j.ecolind.2024.111826
50. Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015) W. Li et al. 10.5194/essd-10-219-2018
51. Major trends in the land surface phenology (LSP) of Africa, controlling for land-cover change T. Adole et al. 10.1080/01431161.2018.1479797
52. Operational Use of EO Data for National Land Cover Official Statistics in Lesotho L. De Simone et al. 10.3390/rs14143294
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54. Remote sensing approach in evaluating anthropogenic impacts on the spatiotemporal changes in net primary productivity of the Niger river basin, from 2000 to 2020 O. Chukwuka et al. 10.1016/j.heliyon.2023.e21246
55. A multi-resolution global land cover dataset through multisource data aggregation L. Yu et al. 10.1007/s11430-014-4919-z
56. Mapping of ESA's Climate Change Initiative land cover data to plant functional types for use in the CLASSIC land model L. Wang et al. 10.5194/bg-20-2265-2023
57. ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. 10.5194/gmd-11-5027-2018
58. Dealing with the uncertainty of technical changes in the CORINE Land Cover dataset: The Portuguese approach D. García-Álvarez et al. 10.1016/j.jag.2023.103389
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61. Estimation of the Land Surface Albedo Changes in the Broader Mediterranean Area, Based on 12 Years of Satellite Observations N. Benas & N. Chrysoulakis 10.3390/rs71215816
62. Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change A. Olteanu-Raimond et al. 10.3390/rs12071186
63. Exploring the multitemporal surface urban heat island effect and its driving relation in the Beijing-Tianjin-Hebei urban agglomeration X. Fu et al. 10.1016/j.apgeog.2022.102714
64. Are CORINE land cover classes reliable proxies of plant species assemblages? A test in Mediterranean forest landscapes V. Amici et al. 10.1080/11263504.2017.1407372
65. Land cover change detection by integrating object-based data blending model of Landsat and MODIS M. Lu et al. 10.1016/j.rse.2016.07.028
66. Sensitivity of Convection-Permitting Regional Climate Simulations to Changes in Land Cover Input Data: Role of Land Surface Characteristics for Temperature and Climate Extremes M. Tölle & E. Churiulin 10.3389/feart.2021.722244
67. Addressing the need for improved land cover map products for policy support Z. Szantoi et al. 10.1016/j.envsci.2020.04.005
68. Analysing the inconsistencies of CORINE status layers (CLC) and layers of changes (CHA) (1990-2018) for a Spanish case study D. García Álvarez & M. Camacho Olmedo 10.1080/19475683.2023.2166583
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79. Evaluation of MODIS, Climate Change Initiative, and CORINE Land Cover Products Based on a Ground Truth Dataset in a Mediterranean Landscape M. Bachantourian et al. 10.3390/land11091453
80. Large net forest loss in Cambodia’s Tonle Sap Lake protected areas during 1992–2019 A. Chen et al. 10.1007/s13280-022-01704-4
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