8
Opinion in Environmental Sustainability (Vol. 38,
pp. 44–52). Elsevier B.V. https://doi.org/10.1016/j.
cosust.2019.05.003.
[4] Gago, J., Douthe, C., &Coopman, R. E. (2015).
UAVs challenge to assess water stress for sustainable
agriculture. Agricultural Water Management, 153,
9–19.
[5] Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko,
S., Thau, D., &Moore, R. (2017). Google Earth
Engine: Planetary-scale geospatial analysis for every-
one. Remote Sensing of Environment, 202, 18–27.
https://doi.org/10.1016/j.rse.2017.06.031.
[6] Islam, K., Vilaysouk, X., &Murakami, S. (2020).
Integrating remote sensing and life cycle assessment
to quantify the environmental impacts of copper-sil-
ver-gold mining: A case study from Laos. Resources,
Conservation and Recycling, 154. https://doi.
org/10.1016/j.resconrec.2019.104630.
[7] Milà i Canals, L., Romanyà, J., &Cowell, S.J.
(2007a). Method for assessing impacts on life sup-
port functions (LSF) related to the use of “fertile
land” in Life Cycle Assessment (LCA). Journal of
Cleaner Production, 15(15),1426–1440. https://doi.
org/10.1016/j.jclepro.2006.05.005.
[8] Milà i Canals, L., Bauer, C., Depestele, J., Dubreuil,
A., Knuchel, R.F., GaillardG., MichelsenO., Müller-
Wenk, R &Rydgren, B (2007b). Key Elements in a
Framework for Land Use Impact Assessment Within
LCA (11 pp). Int J Life Cycle Assessment 12, 5–15
https://doi.org/10.1065/lca2006.05.250.
[9] Peña-Lara, V. A., Dupuy, J. M., Reyes- Garcia, C.,
Sanaphre-Villanueva, L., Portillo- Quintero, C. A., &
Hernández-Stefanoni, J.L. (2022). Modelling Species
Richness and Functional Diversity in Tropical Dry
Forests Using Multispectral Remotely Sensed and
Topographic Data. Remote Sensing, 14(23). https://
doi.org/10.3390/rs14235919.
[10] Rasul, A., Balzter, H., Ibrahim, G. R. F., Hameed,
H. M., Wheeler, J., Adamu, B., Ibrahim, S., &
Najmaddin, P. M. (2018). Applying built-up and bare-
soil indices from Landsat 8 to cities in dry climates.
Land, 7(3). https://doi.org/10.3390/land7030081.
[11] S&P Global (2024) https://www.spglobal.com/mar-
ketintelligence/en/campaigns/metals-mining (Last
accessed November 21, 2024).
[12] USGS (2024). Minerals Yearbook -Metals and
Minerals https://www.usgs.gov/centers/national-
minerals-information-center/minerals-yearbook-
metals-and-minerals. (Last accessed November 21,
2024).
[13] Vinod Janse, P., Deshmukh, R. R., &Randive, P. U.
(2018). Vegetation Indices for Crop Management:
A Review. International Journal of Research and
Analytical Reviews. https://www.researchgate.net/
publication/330754334.
[14] Xue, J., &Su, B. (2017). Significant remote sensing
vegetation indices: A review of developments and appli-
cations. In Journal of Sensors (Vol. 2017). Hindawi
Limited. https://doi.org/10.1155/2017/1353691.
Opinion in Environmental Sustainability (Vol. 38,
pp. 44–52). Elsevier B.V. https://doi.org/10.1016/j.
cosust.2019.05.003.
[4] Gago, J., Douthe, C., &Coopman, R. E. (2015).
UAVs challenge to assess water stress for sustainable
agriculture. Agricultural Water Management, 153,
9–19.
[5] Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko,
S., Thau, D., &Moore, R. (2017). Google Earth
Engine: Planetary-scale geospatial analysis for every-
one. Remote Sensing of Environment, 202, 18–27.
https://doi.org/10.1016/j.rse.2017.06.031.
[6] Islam, K., Vilaysouk, X., &Murakami, S. (2020).
Integrating remote sensing and life cycle assessment
to quantify the environmental impacts of copper-sil-
ver-gold mining: A case study from Laos. Resources,
Conservation and Recycling, 154. https://doi.
org/10.1016/j.resconrec.2019.104630.
[7] Milà i Canals, L., Romanyà, J., &Cowell, S.J.
(2007a). Method for assessing impacts on life sup-
port functions (LSF) related to the use of “fertile
land” in Life Cycle Assessment (LCA). Journal of
Cleaner Production, 15(15),1426–1440. https://doi.
org/10.1016/j.jclepro.2006.05.005.
[8] Milà i Canals, L., Bauer, C., Depestele, J., Dubreuil,
A., Knuchel, R.F., GaillardG., MichelsenO., Müller-
Wenk, R &Rydgren, B (2007b). Key Elements in a
Framework for Land Use Impact Assessment Within
LCA (11 pp). Int J Life Cycle Assessment 12, 5–15
https://doi.org/10.1065/lca2006.05.250.
[9] Peña-Lara, V. A., Dupuy, J. M., Reyes- Garcia, C.,
Sanaphre-Villanueva, L., Portillo- Quintero, C. A., &
Hernández-Stefanoni, J.L. (2022). Modelling Species
Richness and Functional Diversity in Tropical Dry
Forests Using Multispectral Remotely Sensed and
Topographic Data. Remote Sensing, 14(23). https://
doi.org/10.3390/rs14235919.
[10] Rasul, A., Balzter, H., Ibrahim, G. R. F., Hameed,
H. M., Wheeler, J., Adamu, B., Ibrahim, S., &
Najmaddin, P. M. (2018). Applying built-up and bare-
soil indices from Landsat 8 to cities in dry climates.
Land, 7(3). https://doi.org/10.3390/land7030081.
[11] S&P Global (2024) https://www.spglobal.com/mar-
ketintelligence/en/campaigns/metals-mining (Last
accessed November 21, 2024).
[12] USGS (2024). Minerals Yearbook -Metals and
Minerals https://www.usgs.gov/centers/national-
minerals-information-center/minerals-yearbook-
metals-and-minerals. (Last accessed November 21,
2024).
[13] Vinod Janse, P., Deshmukh, R. R., &Randive, P. U.
(2018). Vegetation Indices for Crop Management:
A Review. International Journal of Research and
Analytical Reviews. https://www.researchgate.net/
publication/330754334.
[14] Xue, J., &Su, B. (2017). Significant remote sensing
vegetation indices: A review of developments and appli-
cations. In Journal of Sensors (Vol. 2017). Hindawi
Limited. https://doi.org/10.1155/2017/1353691.