Kabir Uddin

Development of 2010 national land cover database for the Nepal

Land cover and its change analysis across the Hindu Kush Himalayan (HKH) region is realized as an urgent need to support diverse issues of environmental conservation. This study presents the first and most complete national land cover database of Nepal prepared using public domain Landsat TM data of 2010 and replicable methodology. The study estimated that 39.1% of Nepal is covered by forests and 29.83% by agriculture. Patch and edge forests constituting 23.4% of national forest cover revealed proximate biotic interferences over the forests. Core forests constituted 79.3% of forests of Protected areas where as 63% of area was under core forests in the outside protected area. Physiographic regions wise forest fragmentation analysis revealed specific conservation requirements for productive hill and mid mountain regions. Comparative analysis with Landsat TM based global land cover product showed difference of the order of 30-60% among different land cover classes stressing the need for significant improvements for national level adoption. The online web based land cover validation tool is developed for continual improvement of land cover product. The potential use of the data set for national and regional level sustainable land use planning strategies and meeting several global commitments also highlighted.

Understanding Land Cover Change Using a Harmonized Classification System in the Himalaya A Case Study From Sagarmatha National Park, Nepal

Abstract Land cover assessment and monitoring of land cover dynamics are important to understand social and ecological processes in mountain protected areas. However, variations in the use of legends and classification systems sometimes pose challenges. The landscape of Sagarmatha National Park and Buffer Zone (SNPBZ) has seen many changes in the past few decades. Mapping of land cover in SNPBZ was carried out to fill gaps in basic databases for the area. A review of past land cover initiatives and existing data revealed differences in methodologies and definitions that made them incompatible for cross-region applications. For the present study, a legend was developed using the standard Land Cover Classification System (LCCS) methodology developed by the Food and Agriculture Organization and the United Nations Environment Programme, a comprehensive and standardized a priori classification system designed for mapping exercises independent of scales or means. The changes in land cover were analyzed using Landsat Thematic Mapper, Landsat Enhanced Thematic Mapper Plus, and Advanced Spaceborne Thermal Emission and Reflection Radiometer images from 1992 to 2006. Land cover maps were generated using object-based image analysis supplemented by ancillary information. Extensive fieldwork was carried out for ground truthing and validation. The use of LCCS was instrumental in bringing general understanding of the classification systems and helping to gain greater clarity and accuracy in the results. About 70% of the SNPBZ area is covered by snow and ice, glaciers, bare rocks, and bare soil. Altitude and its influence on climatic conditions have dominated the distribution pattern of vegetation in SNPBZ. The analysis showed that forest is being converted into shrub at elevations between 3000 and 4000 m, while shrub is decreasing between 4000 and 5000 m. A major decrease in snow cover is seen above 5000 m. Harmonization of the classification system helped to gain more reliable information on changes, as comparisons were made between the classes with consistent definitions.

Estimation of Soil Erosion Dynamics in the Koshi Basin Using GIS and Remote Sensing to Assess Priority Areas for Conservation.

High levels of water-induced erosion in the transboundary Himalayan river basins are contributing to substantial changes in basin hydrology and inundation. Basin-wide information on erosion dynamics is needed for conservation planning, but field-based studies are limited. This study used remote sensing (RS) data and a geographic information system (GIS) to estimate the spatial distribution of soil erosion across the entire Koshi basin, to identify changes between 1990 and 2010, and to develop a conservation priority map. The revised universal soil loss equation (RUSLE) was used in an ArcGIS environment with rainfall erosivity, soil erodibility, slope length and steepness, cover-management, and support practice factors as primary parameters. The estimated annual erosion from the basin was around 40 million tonnes (40 million tonnes in 1990 and 42 million tonnes in 2010). The results were within the range of reported levels derived from isolated plot measurements and model estimates. Erosion risk was divided into eight classes from very low to extremely high and mapped to show the spatial pattern of soil erosion risk in the basin in 1990 and 2010. The erosion risk class remained unchanged between 1990 and 2010 in close to 87% of the study area, but increased over 9.0% of the area and decreased over 3.8%, indicating an overall worsening of the situation. Areas with a high and increasing risk of erosion were identified as priority areas for conservation. The study provides the first assessment of erosion dynamics at the basin level and provides a basis for identifying conservation priorities across the Koshi basin. The model has a good potential for application in similar river basins in the Himalayan region.

Forest Condition Monitoring Using Very-High-Resolution Satellite Imagery in a Remote Mountain Watershed in Nepal

Satellite imagery has proven extremely useful for repetitive timeline-based data collection, because it offers a synoptic view and enables fast processing of large quantities of data. The changes in tree crown number and land cover in a very remote watershed (area 1305 ha) in Nepal were analyzed using a QuickBird image from 2006 and an IKONOS image from 2011. A geographic object-based image analysis (GEOBIA) was carried out using the region-growing technique for tree crown detection, delineation, and change assessment, and a multiresolution technique was used for land cover mapping and change analysis. The coefficient of determination for tree crown detection and delineation was 0.97 for QuickBird and 0.99 for IKONOS, calculated using a line-intercept transect method with 10 randomly selected windows (1×1 ha). The number of tree crowns decreased from 47,121 in 2006 to 41,689 in 2011, a loss of approximately 90 trees per month on average; the area of needle-leaved forest was reduced by 140 ha (23%) over the same period. Analysis of widely available very-high-resolution satellite images using GEOBIA techniques offers a cost-effective method for detecting changes in tree crown number and land cover in remote mountain valleys; the results provide the information needed to support improved local-level planning and forest management in such areas.

Understanding forest fire patterns and risk in Nepal using remote sensing, geographic information system and historical fire data

Forest fire is one of the key drivers of forest degradation in Nepal. Most of the forest fires are human-induced and occur during the dry season, with ~89% occurring in March, April and May. The inaccessible mountainous terrain and narrow time window of occurrence complicate suppression efforts. In this paper, forest fire patterns are analysed based on historical fire incidence data to explore the spatial and temporal patterns of forest fires in Nepal. Three main factors are involved in the ignition and spread of forest fires, namely fuel availability, temperature and ignition potential. Using these factors a spatially distributed fire risk index was calculated for Nepal based on a linear model using weights and ratings. The input parameters for the risk assessment model were generated using remote sensing based land cover, temperature and active fire data, and topographic data. A relative risk ranking was also calculated for districts and village development committees (VDCs). In total, 18 out of 75 districts were found with high risk of forest fires. The district and VDC level fire risk ranking could be utilised by the Department of Forest for prioritisation, preparedness and resource allocation for fire control and mitigation.

Impact of land cover change on a mountain ecosystem and its services: case study from the Phobjikha valley, Bhutan

ABSTRACT Introduction: Mountains occupy 24% of the global land surface and are home to 12% of the world’s population; they host the world’s principal biomes and supply a diverse array of ecosystem services. But they are also highly sensitive to both natural and human induced changes, which can affect service provision meant for one third of humanity. Systematic research on impacts of land cover change from mountains at the local scale are limited, especially in developing countries, which poses a barrier to informed planning for sustainable management. Bhutan being in the forefront as contributor towards global conservation goals, a case study following a systematic research framework considering quantitative, qualitative and geospatial tools was experimented. Outcome: Respondents identified and ranked 24 ecosystem services, among which the provisioning services were the most important, followed by cultural, regulating, and supporting services. Forest was the most important land cover type for services, followed by marsh, scrub, water bodies, and agriculture. The area of forest declined by 2% and marsh by 7% over the 32-year period, suggesting a potential decrease in ecosystem services, which was also observed by the local community. Discussion: It was observed that 80% of the local people are still directly dependent on the diverse ecosystems for services. Though subtle, the decrease in land cover has implications for livelihoods of the people and the rich biodiversity of the area. Aspiring communities for local development needs guidance for identifying trade-offs in land cover types in sustainable management. An integrated and holistic approach focusing on both conservation and community development should be used to manage and develop the valley and the region sustainably. Conclusion: We recommend diversifying the limited livelihood strategies (potato farming and livestock grazing) to reduce the potential vulnerability of the local community and reduce the pressure on forest and marsh. Proper land use planning in the valley would be beneficial to maintain and regulate land uses in an effective way and avoid possible conflicts between settlement, agriculture, forest, and marsh.

Reform Earth Observation Science and Applications to Transform Hindu Kush Himalayan Livelihoods—Services-Based Vision 2030

The Hindu Kush Himalayas (HKH) region with 210 million people living in the region poses significant scientific and technological challenges for livelihood improvement due to subsistence economy, livelihood insecurity, poverty, and climate change. The inaccessibility and complex mountain environmental settings carved special niche for Earth Observation (EO) science and significant contributions were made in the food security and disaster risk reduction sectors. The differentiated capacities of users to develop and use EO capabilities, challenges in outreaching the EO products to last mile users call for innovative ways of packaging EO products into actionable knowledge and services. This calls for great degree of reformation on EO community to tailor-made region specific EO sensors and models, mechanisms of synergizing EO knowledge with local traditional systems in addressing multiscale, and integrated end-to-end solutions. The paper addresses prospects and challenges of 2015–2030 to achieve success in three critical livelihood support themes viz food security, floods, and forest-based carbon mitigation. Different improvements in EO sensor and models to extend less than a day, all-weather imaging, improved hydro-meteorological forecasts, vegetation stress, and community carbon monitoring models are identified as priority areas of improvement. We envisage and propose mechanisms on how these EO advances could amalgamate into Essential HKH Variables (EHVs) on the lines of global Essential Climate Variables (ECVs) to provide turnkey-based actionable knowledge and services through global and regional cooperation. The complex web of users and orienting them toward adoption of EO services through multi-tier awareness, expertise development, policy advocacy, and institutionalization is also discussed. The paper concludes that the EO community needs to reform significantly in blending their science and applications with user-driven, need-based domains to provide better societal services and HKH livelihood transformation.

Review of Ecosystem Monitoring in Nepal and Evolving Earth Observation Technologies

Nepal, a Himalayan country, is situated on the southern slopes of the central Himalayas and represents about one-third of its whole length. Nepal has a population of around 26.5 million and a large proportion of this rely upon land-based activities for their livelihoods. Its elevation ranges 60–8848 masl which constitutes 10 major ecoregions providing diverse ecosystem services crucial for its inhabitants as well as downstream populations. At the ecosystem level, changes in structure, function, patterns of disturbance, and potential impacts of climate change on species are notable concerns. Earth Observation (EO) technologies are being applied for the monitoring and assessment of Nepal on various scales. Since recently, EO supported assessments are also being linked to decision-making processes. In this chapter, we review the status of EO based assessment of key ecosystem components, including forests, rangelands, agro-ecosystems, and wetlands in Nepal. The chapter also looks at the current information gaps and potential use of upcoming satellite technology developments in the context of Nepal.