Chen, P., Liu, H., Wang, Z., Mao, D., Liang, C., Wen, L., Li, Z., Zhang, J., Liu, D., Zhuo, Y., & Wang, L. (2021). Vegetation dynamic assessment by NDVI and field observations for sustainability of China’s Wulagai River Basin. International Journal of Environmental Research and Public Health, 18(5), 2528. https://doi.org/10.3390/ijerph18052528
Dabrowska-Zielinska, K., Malinska, A., Bochenek, Z., Bartold, M., Gurdak, R., Paradowski, K., & Lagiewska, M. (2020). Drought model DISS based on the fusion of satellite and meteorological data under variable climatic conditions. Remote Sensing, 12(18), 2944. https://doi.org/10.3390/rs12182944
De Sherbinin, A., Reuben, A., Levy, M. A., & Johnson, L. (2013). Indicators in practice: How environmental indicators are being used in policy and management contexts. Center for International Earth Science Information Network; Yale Centre for Environmental Law & Policy.
Drygas, M., Nurzyńska, I., Dudek, M., & Wieliczko, B. (2024). Wspólna polityka rolna w Polsce – bilans 20-lecia członkostwa w UE i wyzwania na kolejne lata. Podsumowanie. EFRWP, IRWiR PAN. https://doi.org/10.53098/978-83-967511-4-0
Gao, B.-C. (1996). NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58(3), 257–266. https://doi.org/10.1016/S0034-4257(96)00067-3
Hardisky, M. A., Klemas, V., & Smart, R. M. (1983). The influence of soil salinity, growth form, and leaf moisture on the spectral radiance of Spartina alterniflora canopies. Photogrammetric Engineering and Remote Sensing, 48(1), 77–84.
Jin, H., & Eklundh, L. (2014). A physically based vegetation index for improved monitoring of plant phenology. Remote Sensing of Environment, 152, 512–525. https://doi.org/10.1016/j.rse.2014.07.010
Kogan, F. N. (1995). Application of vegetation index and brightness temperature for drought detection. Advances in Space Research, 15(11), 91–100. https://doi.org/10.1016/0273-1177(95)00079-T
McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432. https://doi.org/10.1080/01431169608948714
McMaster, G. S., & Wilhelm, W. W. (1997). Growing degree-days: One equation, two interpretations. Agricultural and Forest Meteorology, 87(4), 291–300. https://doi.org/10.1016/S0168-1923(97)00027-0
Móricz, Á. M., Szeremeta, D., Knaś, M., Długosz, E., Ott, P. G., Kowalska, T., & Sajewicz, M. (2018). Antibacterial potential of the Cistus incanus L. phenolics as studied with use of thin-layer chromatography combined with direct bioautography and in situ hydrolysis. Journal of Chromatography A, 1534, 170–178. https://doi.org/10.1016/j.chroma.2017.12.056
Morse, S. (2011). Harnessing the power of the press with three indices of sustainable development. Ecological Indicators, 11 (6), 1681–1688. https://doi.org/10.1016/j.ecolind.2011.04.016
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Souhail Boussetta, Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, J. N., Zsoter, E., Buontempo, C., & Thépaut, J.-N. (2021). ERA5-Land: A state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13(9), 4349–4383. https://doi.org/10.5194/essd-13-4349-2021
Ochtyra, A., Marcinkowska-Ochtyra, A., & Raczko, E. (2020). Threshold- and trend-based vegetation change monitoring algorithm based on the inter-annual multi-temporal normalized difference moisture index series: A case study of the Tatra Mountains. Remote Sensing of Environment, 249, Article 112026. https://doi.org/10.1016/j.rse.2020.112026
Yan, G., Hu, R., Luo, J., Weiss, M., Jiang, H., Mu, X., Xie, D., & Zhang, W. (2019). Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives. Agricultural and Forest Meteorology, 265, 390–411. https://doi.org/10.1016/j.agrformet.2018.11.033