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Tree diversity and carbon important species vary with traditional agroforestry managers in the Indian Eastern Himalayan region
Environmental Science and Pollution Research,
2022
DOI:10.1007/s11356-022-20329-4
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[2]
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Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data
Arabian Journal of Geosciences,
2022
DOI:10.1007/s12517-022-10140-3
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Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data
Arabian Journal of Geosciences,
2022
DOI:10.1007/s12517-022-10140-3
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[4]
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Modeling Spatial Distribution of Carbon Sequestration, CO
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Absorption, and O
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Production in an Urban Area: Integrating Ground‐Based Data, Remote Sensing Technique, and GWR Model
Earth and Space Science,
2022
DOI:10.1029/2022EA002261
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[5]
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Modeling Spatial Distribution of Carbon Sequestration, CO
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Absorption, and O
2
Production in an Urban Area: Integrating Ground‐Based Data, Remote Sensing Technique, and GWR Model
Earth and Space Science,
2022
DOI:10.1029/2022EA002261
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[6]
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Tree diversity and carbon important species vary with traditional agroforestry managers in the Indian Eastern Himalayan region
Environmental Science and Pollution Research,
2022
DOI:10.1007/s11356-022-20329-4
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[7]
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Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas
Mitigation and Adaptation Strategies for Global Change,
2021
DOI:10.1007/s11027-021-09937-6
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[8]
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Forest Resources Resilience and Conflicts
2021
DOI:10.1016/B978-0-12-822931-6.00008-3
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[9]
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Assessing the Contribution of Citrus Orchards in Climate Change Mitigation through Carbon Sequestration in Sargodha District, Pakistan
Sustainability,
2021
DOI:10.3390/su132212412
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[10]
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Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
PLOS ONE,
2020
DOI:10.1371/journal.pone.0226341
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[11]
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Estimation of the Grassland Aboveground Biomass of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images
Remote Sensing,
2020
DOI:10.3390/rs12244155
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[12]
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Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest
Journal of Mountain Science,
2020
DOI:10.1007/s11629-019-5968-8
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[13]
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Remote Estimation of Biomass in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Data at Different Growth Stages
Applied Sciences,
2019
DOI:10.3390/app9030545
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[14]
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Estimating and mapping forest biomass using regression models and Spot-6 images (case study: Hyrcanian forests of north of Iran)
Environmental Monitoring and Assessment,
2018
DOI:10.1007/s10661-018-6725-0
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[15]
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Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
Journal of Applied Remote Sensing,
2018
DOI:10.1117/1.JRS.12.016008
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