Climate Impacts on Sustainable Natural Resource Management. Группа авторов
Чтение книги онлайн.
Читать онлайн книгу Climate Impacts on Sustainable Natural Resource Management - Группа авторов страница 28
![Climate Impacts on Sustainable Natural Resource Management - Группа авторов Climate Impacts on Sustainable Natural Resource Management - Группа авторов](/cover_pre1034777.jpg)
51 San Juan, R.F.d.V. and Domingo‐Santos, J.M. (2018). The role of GIS and LiDAR as tools for sustainable forest management. GIS‐An Overview of Applications 1: 124–148.
52 Shaharum, N.S.N., Shafri, H.Z.M., Gambo, J., and Abidin, F.A.Z. (2018). Mapping of Krau wildlife reserve (KWR) protected area using Landsat 8 and supervised classification algorithms. Remote Sensing Applications: Society and Environment 10: 24–35.
53 Sharp, E., Perry, C., Scharen, A. et al. (1985). Monitoring cereal rust development with a spectral radiometer. Phytopathology 75 (8): 936–939.
54 Shrestha, H.L. (2020). Geospatial solutions for forest management: a case study from Nepal. In: Handbook of Research on the Conservation and Restoration of Tropical Dry Forests (eds. R. Bhadouria, S. Tripathi, P. Srivastava and P. Singh), 268–283. IGI Global.
55 Shrivastava, P., Tripathi, M., and Das, S. (2004). Hydrological modelling of a small watershed using satellite data and GIS technique. Journal of the Indian Society of Remote Sensing 32 (2): 145–157.
56 Singh, H., Kumar, N., Kumar, M., and Singh, R. (2020). Modelling habitat suitability of western tragopan (Tragopan melanocephalus) a range‐restricted vulnerable bird species of the Himalayan region, in response to climate change. Climate Risk Management 29: 100241.
57 Singh, R.K., Sinha, V.S.P., Joshi, P.K., and Kumar, M. (2020a). A multinomial logistic model‐based land use and land cover classification for the south Asian Association for Regional Cooperation nations using moderate resolution imaging spectroradiometer product. Environment, Development and Sustainability: 1–22.
58 Singh, R.K., Sinha, V.S.P., Joshi, P.K., and Kumar, M. (2020b). Modelling agriculture, forestry and other land use (AFOLU) in response to climate change scenarios for the SAARC nations. Environmental Monitoring and Assessment 192 (4): 1–18.
59 Steddom, K., Bredehoeft, M., Khan, M., and Rush, C. (2005). Comparison of visual and multispectral radiometric disease evaluations of Cercospora leaf spot of sugar beet. Plant Disease 89 (2): 153–158.
60 Steinfeld, C. and Kingsford, R.T. (2013). Disconnecting the floodplain: earthworks and their ecological effect on a dryland floodplain in the Murray–Darling Basin, Australia. River Research and Applications 29 (2): 206–218.
61 Steininger, M.K. (1996). Tropical secondary forest regrowth in the Amazon: age, area and change estimation with thematic mapper data. International Journal of Remote Sensing 17 (1): 9–27.
62 SuperMap (2019). AI GIS + Remote Sensing Enhances the Ability of Natural Resources Monitoring. Retrieved 18 January 2021, from https://www.supermap.com/en‐us/news/?82_718.html.
63 Tucker, C.J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8 (2): 127–150.
64 Vemu, S. and Pinnamaneni, U.B. (2011). Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment. Natural Hazards 59 (3): 1299–1315.
65 Vittala, S.S., Govindaiah, S., and Gowda, H.H. (2008). Prioritization of sub‐watersheds for sustainable development and management of natural resources: an integrated approach using remote sensing, GIS and socio‐economic data. Current Science: 345–354.
Конец ознакомительного фрагмента.
Текст предоставлен ООО «ЛитРес».
Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.
Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.