​

1. ​Blaschke, T., Lang, S., Lorup, E., Strobl, J. & Zeil, P., 2000, 'Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications', Environmental information for planning, politics and the public, 2, pp.555-570.

2. Câmara, G., Souza, R.C.M., Freitas, U.M. & Garrido, J., 1996, 'SPRING: Integrating remote sensing and GIS by object-oriented data modelling', Computers & graphics, 20(3), pp.395-403.
    

3. Cohen, W. and Goward, S., 2004, 'Landsat's Role in Ecological Applications of Remote Sensing', BioScience, 54(6), p.535.
    

4. Davis, F., Quattrochi, D., Ridd, M., Lam, N., Walsh, S.J., Michaelsen, J.C., Franklin, J., Stow, D.A., Johannsen, C.J. & Johnston, C.A., 1991, 'Environmental analysis using integrated GIS and remotely sensed data- Some research needs and priorities', Photogrammetric Engineering and Remote Sensing, 57(6), pp.689-697.
    

5. Hinton, J.C., 1996, 'GIS and remote sensing integration for environmental applications', International Journal of Geographical Information Systems, 10(7), pp.877-890.
    

6.  Lees, B.G. & Ritman, K., 1991, 'Decision-tree and rule-induction approach to integration of remotely sensed and GIS data in mapping vegetation in disturbed or hilly environments', Environmental Management, 15(6), pp.823-831.
    

7.  Li, A., Wang, A., Liang, S. & Zhou, W., 2006, 'Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS—a case study in the upper reaches of Minjiang River, China', Ecological Modelling, 192(1-2), pp.175-187.
    

8. Maina, J., Venus, V., McClanahan, T.R. & Ateweberhan, M., 2008, 'Modelling susceptibility of coral reefs to environmental stress using remote sensing data and GIS models', Ecological modelling, 212(3-4), pp.180-199.
    

9. Melesse, A., Weng, Q., Thenkabail, P. & Senay, G. (2007, 'Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling', Sensors, 7(12), pp.3209-3241.
    

10. Rebelo, L.M., Finlayson, C.M. & Nagabhatla, N., 2009. 'Remote sensing and GIS for wetland inventory, mapping and change analysis', Journal of environmental management, 90(7), pp.2144-2153.
     

11. Noltimier, K.F., Jezek, K.C., Sohn, H.G., Li, B., Liu, H., Baumgartner, F., Kaupp, V., Curlander, J.C., Wilson, B. & Onstott, R., 1999, 'RADARSAT Antarctic mapping project-mosaic construction', In IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No. 99CH36293) (Vol. 5, pp. 2349-2351). IEEE.
     

12. Ducher, G., 1980, 'Cartographic possibilities of the SPOT and Spacelab projects', The Photogrammetric Record, 10(56), pp.167-180.
     

13. Feranec, J., Hazeu, G., Jaffrain, G. and Cebecauer, T., 2007, 'Cartographic aspects of land cover change detection (over-and underestimation in the I&CORINE Land Cover 2000 Project)', The Cartographic Journal, 44(1), pp.44-54.
     

14. ​Gao, J. & Liu, Y. 2001, 'Applications of Remote Sensing, GIS and GPS in glaciology: a review', Progress in Physical Geography: Earth And  Environment, 25(4), pp.520-540.
     

15. Gualtieri, G & Tartaglia, M 1998 , ‘Predicting Urban traffic air pollution: A GIS framework’, Transportation Research part D: Transport and Environment, 3(5), pp. 329-336.
     

16. ​Sunar, F. & Özkan, C., 2001, ‘Forest fire analysis with remote sensing data’, International Journal of Remote Sensing, 22(12), pp.2265-2277.
     

17. ​Kerr, J. and Ostrovsky, M., 2003, ‘From space to species: ecological applications for remote sensing’. Trends in Ecology & Evolution, 18(6), pp.299-305.
    ​

18. Labrière, N. et al. (2023) Toward a forest biomass reference measurement system for remote sensing applications, Willey Online Library.
    ​

19. Jawak S D, Pohjola V, Kääb A, Andersen B N, Błaszczyk M, Salzano R, Luks B, Enomoto H, Høgda K A, Moholdt G, Dinessen F and Fjæraa A M 2023 Status of Earth Observation and Remote Sensing Applications in Svalbard Remote Sensing 15 513

20. ​

21. 21. Ho, C.-R. and Liu, A.K., 2023. Preface: Remote Sensing Applications in Ocean Observation. Remote Sensing, [online] 15(2), p.415.
    ​

22.  Dube, T., Shekede, M.D. and Massari, C., 2023. Remote sensing for water resources and environmental management. Remote Sensing, 15(1), p.18.
    ​

23.  Labrière, N. et al. (2022) ‘Toward a forest biomass reference measurement system for remote sensing applications’, Global Change Biology, 29(3), pp. 827–840. 
     

24. ​​Shaik, R.U., Periasamy, S. and Zeng, W. (2023) ‘Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications’, Remote Sensing, 15(5), p. 1378
    ​

25.  Ma, Y. et al. (2024) ‘Transfer learning in environmental remote sensing’, Remote Sensing of Environment, 301, p. 113924. doi:10.1016/j.rse.2023.113924. 
     

26. ​Fassnacht, F.E. et al. (2023) ‘Remote Sensing in forestry: Current challenges, considerations and directions’, Forestry: An International Journal of Forest Research, 97(1), pp. 11–37. doi:10.1093/forestry/cpad024. 
    ​

27.  Aslam, R.W. et al. (2024) ‘Wetland identification through remote sensing: Insights into wetness, greenness, turbidity, temperature, and changing landscapes’, Big Data Research, 35, p. 100416. doi:10.1016/j.bdr.2023.100416. 
    ​

28.  Messaoudi, D., Settou, N. and Allouhi, A. (2024) ‘Geographical, technical, economic, and environmental potential for wind to hydrogen production in Algeria: GIS-based approach’, International Journal of Hydrogen Energy, 50, pp. 142–160. doi:10.1016/j.ijhydene.2023.07.263. 
    ​

29. Weslati, O. and Serbaji, M.-M. (2023) Spatial assessment of soil erosion using RUSLE model, remote sensing and GIS: A case study of mellegue watershed, algeria- Tunisia [Preprint]. doi:10.21203/rs.3.rs-2696076/v1. 
    ​

30.  Benalcazar, P., Komorowska, A. and Kamiński, J. (2024) ‘A GIS-based method for assessing the economics of utility-scale photovoltaic systems’, Applied Energy, 353, p. 122044. doi:10.1016/j.apenergy.2023.122044
    ​

31. Guria, R. et al. (2023) ‘Remote Sensing, GIS, and analytic hierarchy process-based delineation and sustainable management of potential groundwater zones: A case study of jhargram district, West Bengal, India’, Environmental Monitoring and Assessment, 196(1). doi:10.1007/s10661-023-12205-6. 
    ​

32. Hossain, M.S. et al. (2024) ‘Hydro-chemical characteristics and groundwater quality evaluation in south-western region of bangladesh: A GIS-based approach and multivariate analyses’, Heliyon, 10(1). doi:10.1016/j.heliyon.2024.e24011. ​​