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芬欧蓝泰Forest Film荣获包装创新及可持续发展大奖（图）
芬欧蓝泰 Forest Film 包装创新 可持续发展 大奖
2019/12/2
2019年11月1日，在美狮传媒集团主办的中国包装创新及可持续发展论坛中，芬欧蓝泰标签凭借行业首款木质基薄膜标签材料Forest FilmTM获得“包装创新及可持续发展大奖”。这已经是芬欧蓝泰标签连续三届荣获包装可持续发展大奖。
MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS
Sentinel Forest fire NBR dNBR RBR
2019/2/27
Forest fires are frequent phenomena in Uttarakhand Himalayas especially in the months of April to May, causing major loss of valuable forest products and impact on humans through the emissions and the...
MODELING OF PARAMETERS FOR FOREST FIRE RISK ZONE MAPPING
Criteria Based Weight Risk Zonation Fire sensitivity Topographic map AHP
2019/2/27
Forest fire has been regarded as one of the major reasons for the loss of biodiversity and dreadful conditions of environment. Global warming is also increasing the incidence of forest fire at an alar...
MAPPING OF STRIP FOREST IN ADAMPUR RANGE (HARYANA) A GEO-INFORMATICS APPROACH
Strip Forest Forest Mapping Social Forestry HRS - WV Smart GIS Decision Support System
2019/2/27
Haryana state is an intensively cultivated state, and deficient in natural forests. One of the mandate of Haryana Forest Department (HFD) is to afforest for maintenance of environmental stability and ...
MULTITEMPORAL ANALYSIS OF FOREST COVER CHANGE USING REMOTE SENSING AND GIS OF KANHA TIGER RESERVE, CENTRAL INDIA
Forest LULC Livelihood Climate Change Adaptation
2019/2/27
Forest ecosystems play a key role in global ecological balance and provide a variety of tangible and intangible ecosystem services that support the livelihoods of rural poor. In addition to the anthro...
EVALUATION OF AIRBORNE L- BAND MULTI-BASELINE POL-INSAR FOR DEM EXTRACTION BENEATH FOREST CANOPY
Digital Elevation Model, SAR, Multi-baseline Pol-InSAR, TomoSAR, Forest canopy, Scattering characteristics separation
2018/5/14
DEM beneath forest canopy is difficult to extract with optical stereo pairs, InSAR and Pol-InSAR techniques. Tomographic SAR (TomoSAR) based on different penetration and view angles could reflect vert...
3D SEMANTIC LABELING OF ALS DATA BASED ON DOMAIN ADAPTION BY TRANSFERRING AND FUSING RANDOM FOREST MODELS
3D semantic labelling ALS data random forest domain adaption decision fusion
2018/5/15
Labeling 3D point cloud data with traditional supervised learning methods requires considerable labelled samples, the collection of which is cost and time expensive. This work focuses on adopting doma...
DEVELOPMENT OF SPATIAL SCALING TECHNIQUE OF FOREST HEALTH SAMPLE POINT INFORMATION
Forest Forest management Forest Health Species diversity Shannon’s index Spatial interpolation Kriging IDW
2018/5/14
Forests provide many goods, Ecosystem services, and resources to humans such as recreation air purification and water protection functions. In rececnt years, there has been an increase in the factors ...
FOREST DISTURBANCE ANALYSIS WITH LANDSAT-8 OLI DATA RELATED TO A PARAMETRIC WIND FIELD: A CASE STUDY FOR TYPHOON RAMMASUN (201409)
Typhoon Rammasun Forest disturbance Wind field Remote sensing index
2018/5/15
Forest disturbance induced by tropical cyclone often has significant and profound effects on the structure and function of forest ecosystem. Detection and analysis of post-disaster forest disturbance ...
OBJECT-BASED RANDOM FOREST CLASSIFICATION OF LAND COVER FROM REMOTELY SENSED IMAGERY FOR INDUSTRIAL AND MINING RECLAMATION
Reclamation Area Classification of Land Use Random Forest Grid-search Object-based Multi-resolution Segmentation Multi-feature Variables
2018/5/11
The RF method based on grid-search parameter optimization could achieve a classification accuracy of 88.16 % in the classification of images with multiple feature variables. This classification ...
EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST
Vegetation mapping Sentinel-2 Landsat-8 OLI Random Forest Maximum Likelihood Classifier
2018/5/15
Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Image...
IMPROVING THE INTEROPERABILITY OF DISASTER MODELS: A CASE STUDY OF PROPOSING FIREML FOR FOREST FIRE MODEL
FireML Forest Fire Model 3DGIS Disaster Management System
2018/5/14
This paper presents a new standardized data format named Fire Markup Language (FireML), extended by the Geography Markup Language (GML) of OGC, to elaborate upon the fire hazard model. The proposed Fi...
SALIENCY-GUIDED CHANGE DETECTION OF REMOTELY SENSED IMAGES USING RANDOM FOREST
Remote Sensing Change Detection Segmentation Super-pixel Saliency Random Forest
2018/5/14
Studies based on object-based image analysis (OBIA) representing the paradigm shift in change detection (CD) have achieved remarkable progress in the last decade. Their aim has been developing more in...
FOREST COVER CLASSIFICATION USING GEOSPATIAL MULTIMODAL DATA
Forest Cover Classification LiDAR Airborne Imagery Convolutional Neural Network Multimodal Learning
2018/6/5
To address climate change, accurate and automated forest cover monitoring is crucial. In this study, we propose a Convolutional Neural Network (CNN) which mimics professional interpreters’ manual tech...
APPLYING RANDOM FOREST CLASSIFICATION TO MAP LAND USE/LAND COVER USING LANDSAT 8 OLI
Classification Landsat 8 OLI Land use Land cover Random Forest Decision Tree
2018/5/8
This study used the Random Forest classifier (RF) running in R environment to map Land use/Land cover (LULC) of Dak Lak province in Vietnam based on the Landsat 8 OLI. The values of two RF parameters ...