Geo-Statistical Modelling of Remote Sensing Data for Forest Carbon Estimation—A Case Study on Sikkim, Himalayas

Author:

Kumar Pradeep,Pradhan Ratika,Ghose Mrinal Kanti

Publisher

Springer Singapore

Reference8 articles.

1. Champion, H.G., Seth, S.: A Revised Survey of the Forest Types of India. Manager of Publications, Delhi, India (1968)

2. FAO, Price, M.F., Schweiz (eds.): Mountain Forests in a Changing World: Realizing Values, Addressing Challenges [International year of forests 2011]. FAO, Rome (2011)

3. Hengl, T.: A Practical Guide to Geostatistical Mapping, vol. 52. Hengl (2009)

4. Kiš, I.M.: Comparison of Ordinary and Universal Kriging interpolation techniques on a depth variable (a case of linear spatial trend), case study of the Šandrovac Field. Rudarsko-Geološko-Naftni Zbornik 31(2):41–58. (2016). https://doi.org/10.17794/rgnzbornik.v31i2.3862

5. Kumar, P., Ghose, M.K.: Remote sensing based forest carbon assessment in mountains: the challenges of Terrain. Asian J. Geoinform. 16(4) (2017a)

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