Publication Cover
Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 47, 2021 - Issue 6
6,885
Views
8
CrossRef citations to date
0
Altmetric
Articles

Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran

Estimation multi-capteurs de la biomasse aérienne de la forêt de feuillus hyrcanienne d’Iran

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 818-834 | Received 11 Jul 2020, Accepted 10 Aug 2021, Published online: 07 Sep 2021

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Linjing Zhang, Xiaoxue Zhang, Zhenfeng Shao, Wenhao Jiang & Huimin Gao. (2023) Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China. International Journal of Digital Earth 16:1, pages 158-182.
Read now

Articles from other publishers (7)

Maryam Poorazimy, Shaban Shataee, Hossein Aghababaei, Erkki Tomppo & Jaan Praks. (2023) First Demonstration of Space-Borne Polarization Coherence Tomography for Characterizing Hyrcanian Forest Structural Diversity. Remote Sensing 15:3, pages 555.
Crossref
Nikos Georgopoulos, Christos Sotiropoulos, Alexandra Stefanidou & Ioannis Z. Gitas. (2022) Total Stem Biomass Estimation Using Sentinel-1 and -2 Data in a Dense Coniferous Forest of Complex Structure and Terrain. Forests 13:12, pages 2157.
Crossref
I. A. Babiy, S. T. Im & V. I. Kharuk. (2022) Estimating Aboveground Forest Biomass Using Radar Methods. Contemporary Problems of Ecology 15:5, pages 433-448.
Crossref
Alireza Sharifi, Shilan Felegari & Aqil Tariq. (2022) Mangrove forests mapping using Sentinel-1 and Sentinel-2 satellite images. Arabian Journal of Geosciences 15:20.
Crossref
Rajit Gupta & Laxmi Kant Sharma. (2022) Aboveground Biomass Prediction by Fusing Gedi Footprints with Optical and SAR Data Using the Random Forest in the Mixed Tropical Forest, India. Aboveground Biomass Prediction by Fusing Gedi Footprints with Optical and SAR Data Using the Random Forest in the Mixed Tropical Forest, India.
Sinan Bulut, Fatih Sivrikaya & Alkan Günlü. (2022) Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data. Arabian Journal of Geosciences 15:9.
Crossref
Fardin Moradi, Ali Asghar Darvishsefat, Manizheh Rajab Pourrahmati, Azade Deljouei & Stelian Alexandru Borz. (2022) Estimating Aboveground Biomass in Dense Hyrcanian Forests by the Use of Sentinel-2 Data. Forests 13:1, pages 104.
Crossref