Forest Fire Rehabilitation
Forest fire is one of the key drivers of forest degradation. Forest fire destroys more trees than all other natural calamities: parasite attacks, insects, frost, etc. Additionally, forest fires are also a significant contributor to global greenhouse gas (GHG) emissions; during biomass burning large amounts of carbon dioxide, black carbon, and trace gases, including harmful GHGs such as nitrogen oxides and methane are released into the atmosphere which in turns adversely affect air quality and climate on regional and global scales.
Forest fires have adverse ecological and economic effects and are a major concern in many countries, especially regarding management and prevention (ICIMOD, 2019). National and international organizations are fighting these issues by developing different mechanisms like the Kyoto Protocol, Reducing Emission from Deforestation and Degradation (REDD+), and Sustainable Development Goals (SDGs).
Burn area mapping is essential to carry out a comprehensive assessment of damage occurring in forests due to major fire events as well as plays an important role in the planning of mitigation measures and vegetation regrowth activities. Moreover, rapid and accurate mapping using satellite images of fire burn severity is an essential initiative to support fire management activities such as strategic planning, mitigation measures, and monitoring restoration of vegetation. These are some of the reasons indicating the importance of forest fire rehabilitation.
What do we do?
Firstly we observe forest fires using Sentinel-2 satellite images and identify burned (burnt) areas and severity levels using GIS tools. Once we identify the fire-affected area we classify those areas according to districts and prepare a map of it. After making a map we try to contact respective District Forest Offices (DFO) for facilitation. With the coordination of District Forest Offices (DFOs), and Community Forest User Groups (CFUGs) we survey those areas and start rehabilitation activities based on Burn Severity Level. For that, we conduct several activities which are:
- Research and Analysis related to forest fires,
- Seed sowing / Afforestation,
- Preparation, Distribution, and Protection of Seedlings and Saplings,
- Establishing Forest Lines and controlled burning,
- Train the community on how to tackle forest fires at an early stage,
- Forest Inventory and Management Activities,
- Help in the reintroduction of wildlife affected by forest fires,
- Conduct awareness programs to reduce human-wildlife conflicts.
Goal
How are we going to achieve this?
Phase I
Preparation of forest fire Map of Chure Region and ground-truthing of obtained result. Chure Area, also known as the newer Himalayas is the most fragile landscape of Nepal. This region consists of 37 districts of Nepal.
Methodology
For the completion of this phase, the following methodology will be adopted.
I. Classification of the image.
II. Cloud / NDWI Correction (Pre-Processing).
III. Derivation of NBR, dNBR, RBR.
IV. Burn Severity Classification.
V. Burn Area Mapping, Further Analysis, and Visual Interpretation.
Phase II
Phase III
Phase IV
Although the whole work is divided into 4 phases, it can occur simultaneously as well due to the nature of the work.
What do we use for preparation of Map and analysis?
We use Google Earth Engine (JavaScript), Satellite Images and Q-GIS for map preparation whereas MS Office and SPSS are used for analysis process.
Who are the Stakeholders?
- Organizations,
- Civil Society, Locals (especially Disadvantaged and Marginalized Groups),
- Locals,
- CFUGs,
- NGOs.
What have we accomplished so far?
References
- Babu, K. S., & Vanama, V. S. K. (2020). Burn area mapping in Google Earth Engine (GEE) cloud platform: 2019 forest fires in eastern Australia. In 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC) (pp. 109-112).
- ICIMOD. (2019). Forest fire detection and monitoring system in Nepal. Retrieved March 8, 2022, from https://lib.icimod.org/record/27077
- Matin M, Chitale V, Murthy SR, Uddin M, Bajracharya K, Pradhan, Sudip B.(2017). Understanding forest fire patterns and risk in Nepal using remote sensing, geographic information system and historical fire data. Int J Wildland Fire. 26(4):276.
- Key, C.H. and Benson, N.C.(1999). Measuring and remote sensing of burn severity. In Proceedings joint fire science conference and workshop (Vol. 2, p. 284). University of Idaho and International Association of Wildland Fire Moscow, ID.
















