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HUTAN PENDIDIKAN PACCEKKE

Kawasan Hutan Dengan Tujuan Khusus (KHDTK) Universitas Muhammadiyah Makassar - Platform interaktif untuk monitoring, penelitian, dan pengelolaan hutan pendidikan menuju pengelolaan hutan berkelanjutan, terdepan dan inklusif.

229.18
Hektar
51
Grid Monitoring
LIVE
Platform Status: All Systems Operational
Educational Forest Monitoring System will send alerts automatically when there is Grid on Medium+ Fire Risk or LST > 38Β°C or Grid has Poor vegetation health
Last Updated:
Hutan Pendidikan UNISMUH Makassar
Location & Details

Location: Desa Paccekke, Soppeng Riaja, Kabupaten Barru, Sulawesi Selatan

Legal Standing: SK KEMENHUT 4528 Tahun 2025

Established: 2023

Elevation: 400-800 meters above sea level

Climate: Tropical monsoon climate

Research Focus Areas
  • Forest Growth Dynamics
  • Biodiversity Assessment
  • Watershed Management
  • Carbon Sequestration
  • Climate Adaptation and Mitigation
  • Community-Based Forest Management
  • Non-timber Forest Products Utilization
Cam 1 Temporary Disconnected
Forest Canopy
Cam 2 Temporary Disconnected
Wildlife Trail
--Β°C
Land Surface Temperature (LST) Checking... Loading...
0/51 Low
Fire Detection
VIIRS Monitoring
Position: Move mouse over map
Last Click: Click on map
Measurement: Use tools to measure
Vegetation Monitoring - GRID Hutan Pendidikan Layer Last 12 months data
Vegetation Health Monitoring Grid
NDVI Vegetation Health System
Primary Data Source:
Sentinel-2: COPERNICUS/S2_SR_HARMONIZED
Backup Source: LANDSAT/LC08/C02/T1_L2
Processing: Google Earth Engine
Health Classification:
HEALTHY: NDVI β‰₯ 0.6 (Dense vegetation)
MODERATE: NDVI 0.3-0.6 (Moderate vegetation)
POOR: NDVI < 0.3 (Sparse/stressed vegetation)
Spectral Bands:
β€’ Red Band (B4): 664.5nm
β€’ NIR Band (B8): 842.5nm
β€’ NDVI = (NIR - Red) / (NIR + Red)
β€’ Cloud Masking: QA60 band filtering
Technical Specifications:
β€’ Spatial Resolution: 10m (Sentinel-2)
β€’ Scale Factor: 0.0001 applied
β€’ Cloud/Cirrus Masking: Automatic
β€’ Grid System: 51 monitoring plots
NDVI Active
0
Healthy Plots
0
Moderate Health
0
Poor Health
Loading...
Poor
Moderate
Healthy
Last Analysis: Loading...
Forest Fire Monitoring Grid
VIIRS/MODIS Fire Detection System
Primary Detection:
β€’ VIIRS Suomi NPP (375m resolution)
β€’ VIIRS NOAA-20 (375m resolution)
β€’ Dual satellite coverage for reliability
Backup Detection:
β€’ MODIS Terra (1km resolution)
β€’ FireMask thermal anomaly detection
Data Sources:
NASA LANCE: NASA/LANCE/SNPP_VIIRS/C2
NASA LANCE: NASA/LANCE/NOAA20_VIIRS/C2
MODIS Collection 6.1: MODIS/061/MOD14A1
Risk Classification:
LOW: No fire detected
MEDIUM: Any fire detection found
HIGH: FRP > 20MW or confidence > 60%
CRITICAL: FRP > 50MW or confidence > 80%
Confidence Levels:
β€’ 0% = No fire detected (normal)
β€’ 20-100% = Fire confidence from satellites
β€’ VIIRS: 20% (low), 60% (nominal), 100% (high)
β€’ MODIS: 70-90% based on thermal signature
Monitoring Parameters:
β€’ Fire Radiative Power (FRP)
β€’ Brightness Temperature (VIIRS)
β€’ Confidence Level (0-100%)
β€’ Detection Date & Coordinates
VIIRS Active
0
Active Alerts
0
Hot Spots
LOW
Risk Level
Last Scan: Loading...
Normalized Difference Vegetation Index (NDVI) (Last 3 months)
NDVI - Vegetation Health Indicator
Data Source:
Sentinel-2: COPERNICUS/S2_SR_HARMONIZED
Processing: Google Earth Engine
Coverage: Entire KHDTK polygon (average)
Formula & Bands:
NDVI = (NIR - Red) / (NIR + Red)
β€’ Red Band (B4): 664.5nm
β€’ NIR Band (B8): 842.5nm
Health Classification:
HEALTHY: NDVI β‰₯ 0.6 (Dense vegetation)
MODERATE: NDVI 0.3-0.6 (Moderate vegetation)
POOR: NDVI < 0.3 (Sparse/stressed vegetation)
Technical Specifications:
β€’ Spatial Resolution: 10m (Sentinel-2)
β€’ Scale Factor: 0.0001 applied
β€’ Cloud/Cirrus Masking: Automatic
β€’ Time Series: Last 12 months
Current layer shows: Loading...
Enhanced Vegetation Index (EVI) (Last 3 months)
EVI - Enhanced Vegetation Analysis
Data Source:
Sentinel-2: COPERNICUS/S2_SR_HARMONIZED
Processing: Google Earth Engine
Coverage: Entire KHDTK polygon (average)
Formula & Bands:
EVI = 2.5 Γ— ((NIR - Red) / (NIR + 6Γ—Red - 7.5Γ—Blue + 1))
β€’ Blue Band (B2): 492.1nm
β€’ Red Band (B4): 664.5nm
β€’ NIR Band (B8): 842.5nm
Enhanced Features:
β€’ Atmospheric correction included
β€’ Canopy background noise reduction
β€’ More sensitive to vegetation changes
β€’ Range: -1.0 to +1.0
Technical Specifications:
β€’ Spatial Resolution: 10m (Sentinel-2)
β€’ Scale Factor: 0.0001 applied
β€’ Cloud/Cirrus Masking: Automatic
β€’ Time Series: Last 12 months
Current layer shows: Loading...
Normalized Difference Moisture Index (NDMI) (Last 3 months)
NDMI - Vegetation Water Content
Data Source:
Sentinel-2: COPERNICUS/S2_SR_HARMONIZED
Processing: Google Earth Engine
Coverage: Entire KHDTK polygon (average)
Formula & Bands:
NDMI = (NIR - SWIR1) / (NIR + SWIR1)
β€’ NIR Band (B8): 842.5nm
β€’ SWIR1 Band (B11): 1613.7nm
Moisture Analysis:
β€’ Vegetation water content detection
β€’ Drought stress monitoring
β€’ Higher values = higher water content
β€’ Range: -1.0 to +1.0
Technical Specifications:
β€’ Spatial Resolution: 10m (Sentinel-2)
β€’ Scale Factor: 0.0001 applied
β€’ Cloud/Cirrus Masking: Automatic
β€’ Time Series: Last 12 months
Current layer shows: Loading...
Combined Vegetation Indices (Last 12 months)
Combined Vegetation Analysis
Data Source:
Sentinel-2: COPERNICUS/S2_SR_HARMONIZED
Processing: Google Earth Engine
Coverage: Entire KHDTK polygon (average)
Combined Analysis:
β€’ NDVI: Overall vegetation health & greenness
β€’ EVI: Enhanced sensitivity with atmospheric correction
β€’ NDMI: Vegetation water content & drought stress
Comprehensive Assessment:
β€’ Multi-spectral vegetation monitoring
β€’ Cross-validation of vegetation indices
β€’ Temporal trend analysis capability
β€’ Integrated health & moisture status
Technical Specifications:
β€’ Spatial Resolution: 10m (Sentinel-2)
β€’ Scale Factor: 0.0001 applied
β€’ Cloud/Cirrus Masking: Automatic
β€’ Time Series: Last 12 months
Comparative view: Loading...
Grid Date Latitude Longitude NDVI EVI NDMI SAVI Observations
Avg Min Max Avg Min Max Avg Min Max Avg Min Max
Loading monthly vegetation data...

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