A5087927767- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Conservation, Biodiversity, and Resource Management
- Oil Palm Production and Sustainability
- Smart Agriculture and AI
- Forest ecology and management
- Remote-Sensing Image Classification
- Chaos-based Image/Signal Encryption
- Species Distribution and Climate Change
- Urban Heat Island Mitigation
- Advanced Computational Techniques and Applications
- Wood and Agarwood Research
- Tree Root and Stability Studies
- Leaf Properties and Growth Measurement
- Cloud Computing and Resource Management
- Cellular Automata and Applications
- Advanced Data Storage Technologies
- Geographic Information Systems Studies
- Environmental Changes in China
- Distributed and Parallel Computing Systems
- Plant Water Relations and Carbon Dynamics
- Global Trade and Competitiveness
Southwest Forestry University
2015-2025
State Forestry and Grassland Administration
2023-2025
Yunnan Forestry Vocational and Technical College
2024
Mahidol University
2020
University of Oklahoma
2015-2018
Kunming University of Science and Technology
2012-2015
Dana (United States)
2012
The Erhai Lake Basin is an area with the active economic and social development of agriculture tourism, facing increasingly prominent environmental problems rapid urbanization. Assessing spatial–temporal changes in ecological environment quality objectively quantitatively a timely fashion crucial for protection policymaking. First, we selected high-quality Landsat imagery acquired at same time phase years 1999, 2004, 2009, 2014, 2019 respectively. Second, remote sensing-based index (RSEI)...
Accurate and updated finer resolution maps of rubber plantations stand ages are needed to understand assess the impacts on regional ecosystem processes. This study presented a simple method for mapping plantation areas their by integration PALSAR 50-m mosaic images multi-temporal Landsat TM/ETM+ images. The L-band were used map forests (including both natural trees) non-forests. For those PALSAR-based forest pixels, we analyzed from 2000 2009. We first studied phenological signatures...
The accurate estimation of aboveground biomass (AGB) in rubber plantations is essential for predicting production and assessing carbon storage. Multispectral sensors mounted on unmanned aerial vehicles (UAVs) can obtain high spatiotemporal resolution imagery plantations, offering significant advantages capturing fine structural details heterogeneity. However, most previous studies primarily focused developing models using machine learning (ML) algorithms conjunction with feature selection...
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting crop during the early stages low coverage, there is limited investigation into later high which could impact accuracy forecasting yield. High canopy coverage severe occlusion in pose significant challenges plant detection counting. Therefore, this study evaluated performance Count Crops tool a deep...
Abstract As farmland systems vary over space and time (season year), accurate updated maps of paddy rice are needed for studies food security environmental problems. We selected a wheat-rice double-cropped area from fragmented landscapes along the rural–urban complex (Jiangsu Province, China) explored potential utility integrating series optical images (Landsat-8, MODIS) radar (PALSAR) in mapping planting areas. first identified several main types non-cropland land cover then fields by...
Yuxi, located in China's central plateau of Yunnan, is grappling with ecological and environmental challenges as it continues to develop its economy. While quality assessment serves the foundation for protection, pivotal have reliable long-term methods assessing status support informed decision-making protection. Reliable order facilitate protection are applied. This study utilized Landsat data reconstruct four indices (greenness, wetness, dryness, heat) during vegetation growth Yuxi from...
The rapid, accurate, and non-destructive estimation of rubber plantation aboveground biomass (AGB) is essential for producers to forecast yield carbon storage. To enhance the accuracy, an increasing number remote sensing variables are incorporated into development multi-parameter models, which makes its practical application potential impact on predictive precision challenging due inclusion non-essential or redundant variables. Therefore, this study systematically evaluated performance...
The increasing expansion of rubber plantations throughout East and Southeast Asia urgently requires improved methods for effective mapping monitoring. phenological information from was found in mapping. Previous studies have mostly applied rule-pixel-based phenology approaches mapping, which might result broken patches fragmented landscapes. This study introduces a new paradigm by combining with object-based classification to map Xishuangbanna. research first delineated the time windows...
Monoculture rubber plantations have been replacing tropical rain forests substantially in Southern China and Southeast Asia over the past several decades, which affected human wellbeing ecosystem services. However, to best of our knowledge on extent plantation expansion their stand ages is limited. We tracked spatiotemporal dynamics deciduous Xishuangbanna, second largest natural production region China, from 2000 2010 using time-series data Phased Array type L-band Synthetic Aperture Radar...
Updated extent, area, and spatial distribution of tropical evergreen forests from inventory data provides valuable knowledge for research the carbon cycle, biodiversity, ecosystem services in regions. However, acquiring these mountainous regions requires labor-intensive, often cost-prohibitive field protocols. Here, we report about validated methods to rapidly identify forests, obtain accurate extent estimates using phenology-based procedures that integrate Moderate Resolution Imaging...
Knowing the stand age of rubber tree (Hevea brasiliensis) plantations is vitally important for best management practices, estimations latex yields, and carbon cycle studies (e.g., biomass, pools, fluxes). However, (as estimated from establishment year plantation) not available across large regions. In this study, we analyzed Landsat time series images 1987–2015 developed algorithms to identify (1) plantations; (2) pre-conversion land cover types, such as old plantations, evergreen forests,...
A key aspect of mitigating global climate warming is enhancing the carbon storage capacity terrestrial ecosystems. China’s Grain for Green Program (GFGP) largest ecological restoration project in world, which closely associated with land use change. systematic assessment GFGP’s impact on regional great significance promoting development and maintaining ecosystem stability. Therefore, this study selects a typical dry-hot valley area—Yanjin County—as area, serves as an protection barrier...
Choreography-driven microservice composition has provided a better way to integrate components in the Cyber-physical-Social System (CPSS). Choreography is global contract that specifies interactions among microservices participating composite service. After modeling choreography, problem arises here whether choreography specification at design time can be implemented correctly by generated interact with each other via exchanging messages. In this paper, we propose novel approach for...
The specific impact of ecological environment quality at a regional scale due to the rubber plantations expansion is still unclear in Xishuangbanna, Yunnan province, China. First, we used pixel and phenology-based multiple normalization approach map over six time periods during 1995–2018 with available high-quality Landsat imagery. Second, pixel-based optimized algorithm was developed reduce commission omission errors maps mapped area. Third, remote sensing-based index (RSEI) employed assess...
Rubber (Hevea brasiliensis Muell.) plantations constitute one of the most important agro-ecosystems in tropical region China and Southeast Asia, playing an role carbon budget there. Accurately obtaining their biomass over a large area is challenging because difficulties acquiring Diameter at Breast Height (DBH) through remote sensing problem saturation. The stand age, which closely related to forest biomass, was proposed for estimation this study. A age map annual scale Hainan Island, second...
Understanding post-fire vegetation recovery dynamics is crucial for damage assessment and planning, yet spatiotemporal patterns in complex plateau environments remain poorly understood. This study addresses this gap by focusing on Yunnan Province, a mountainous region with high fire incidence. We developed an innovative approach combining differenced Normalized Burn Ratio (dNBR) visual interpretation Google Earth Engine (GEE) to generate high-quality training samples from Landsat 5 TM/7...