Tracing Tracing Testing Treating Dharavi's Covid 19 Defense Model

Tracing

Testing

Treating

Dharavi's Covid 19 Defense Model

ഒരിക്കൽ Covid 19 Cluster യിരുന്ന ധാരാവി; ഏറ്റവുമൊടുവിൽ 2 രോഗികൾ മാത്രം; ഇവരെങ്ങനെയാണ് കൊറോണയെ തുരത്തിയത് ??

2531 പേര്‍ക്കായിരുന്നു ധാരാവിയിൽ കൊവിഡ് ബാധിച്ചത്. ഈ പ്രദേശത്ത് ഇപ്പോൾ 113 കേസുകൾ മാത്രമേ സജീവമായിട്ടുള്ളൂ.പുതിയ രോഗികളുടെ എണ്ണം ഇപ്പോൾ രണ്ടും മൂന്നും ഒക്കെയാണ് !!!

കൊടുങ്കാറ്റുപോലെ പടർന്ന് ,ലക്ഷങ്ങൾ ചത്തൊടുങ്ങും എന്ന് വിധിയെഴുതിയ ധാരാവിയെ തിരിച്ചുപിടിച്ചത് അർപ്പണബോധത്തോടെയുള്ള അധികൃതരുടെയും ,ആരോഗ്യപ്രവർത്തകരുടെയും മനസ്സറിഞ്ഞുള്ള പ്രവർത്തനമാണ് .

ഇടുങ്ങിയ വഴികളും തൊട്ടടുത്ത് വീടുകളുമുള്ള ഇവിടത്തെ ജനങ്ങൾ പൊതുകക്കൂസാണ് ഉപയോഗിക്കുന്നത്. സാമൂഹിക അകലം അസാധ്യമാണെന്ന് തീർത്തു പറഞ്ഞ ഇവിടെയാണ് കൊറോണയ്ക്കെതിരെ ജനങ്ങൾ പ്രതിരോധം തീർത്തത്. ആറര ലക്ഷത്തിലധികം ജനങ്ങൾ തിങ്ങിപ്പാർക്കുന്ന ഇവിടെ നിന്നും ജൂലൈ 22ന് റിപ്പോർട്ട് ചെയ്തത് വെറും അഞ്ച് കേസുകൾ മാത്രമാണ് !!

ഇനി എങ്ങിനെയാണ് ഇവരിതിനെ പിടിച്ചുകെട്ടിയത് ???

(കേരള മോഡൽ അവരും പിൻതുടർന്നു )

നാലു T കൾ ആണ്‌ ആ സൂത്രം !

Tracing

Testing

Treating

എന്നീ നാലു 'T' കളാണ് ധാരാവിയെ കൊറോണയിൽ നിന്നും രക്ഷിച്ചത് .ലോകാരോഗ്യ സംഘടന ഉൾപ്പെടെ ലോകം വാഴ്ത്തുകയാണ് ധാരാവിയെ !!

നല്ല മാതൃകയ്ക്ക് നല്ല കയ്യടികൾ നൽകാം 👏👏👏👏

....

Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
http://geogisgeo.blogspot.com
🌏🌎
🌐🌍

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Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...

Optical Sensors in Remote Sensing

1. What Are Optical Sensors? Optical sensors are remote sensing instruments that detect solar radiation reflected or emitted from the Earth's surface in specific portions of the electromagnetic spectrum (EMS) . They mainly work in: Visible region (0.4–0.7 µm) Near-Infrared – NIR (0.7–1.3 µm) Shortwave Infrared – SWIR (1.3–3.0 µm) Thermal Infrared – TIR (8–14 µm) — emitted energy, not reflected Optical sensors capture spectral signatures of surface features. Each object reflects/absorbs energy differently, creating a unique spectral response pattern . a) Electromagnetic Spectrum (EMS) The continuous range of wavelengths. Optical sensing uses solar reflective bands and sometimes thermal bands . b) Spectral Signature The unique pattern of reflectance or absorbance of an object across wavelengths. Example: Vegetation reflects strongly in NIR Water absorbs strongly in NIR and SWIR (appears dark) c) Radiance and Reflectance Radi...

Types of Remote Sensing

Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. 🛰️ 1. Active Remote Sensing 📘 Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. 📊 Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...

Resolution of Sensors in Remote Sensing

Spatial Resolution 🗺️ Definition : The smallest size of an object on the ground that a sensor can detect. Measured as : The size of a pixel on the ground (in meters). Example : Landsat → 30 m (each pixel = 30 × 30 m on Earth). WorldView-3 → 0.31 m (very detailed, you can see cars). Fact : Higher spatial resolution = finer details, but smaller coverage. Spectral Resolution 🌈 Definition : The ability of a sensor to capture information in different parts (bands) of the electromagnetic spectrum . Measured as : The number and width of spectral bands. Types : Panchromatic (1 broad band, e.g., black & white image). Multispectral (several broad bands, e.g., Landsat with 7–13 bands). Hyperspectral (hundreds of very narrow bands, e.g., AVIRIS). Fact : Higher spectral resolution = better identification of materials (e.g., minerals, vegetation types). Radiometric Resolution 📊 Definition : The ability of a sensor to ...

Radar Sensors in Remote Sensing

Radar sensors are active remote sensing instruments that use microwave radiation to detect and measure Earth's surface features. They transmit their own energy (radio waves) toward the Earth and record the backscattered signal that returns to the sensor. Since they do not depend on sunlight, radar systems can collect data: day or night through clouds, fog, smoke, and rain in all weather conditions This makes radar extremely useful for Earth observation. 1. Active Sensor A radar sensor produces and transmits its own microwaves. This is different from optical and thermal sensors, which depend on sunlight or emitted heat. 2. Microwave Region Radar operates in the microwave region of the electromagnetic spectrum , typically from 1 mm to 1 m wavelength. Common radar frequency bands: P-band (70 cm) L-band (23 cm) S-band (9 cm) C-band (5.6 cm) X-band (3 cm) Each band penetrates and interacts with surfaces differently: Lo...

Vineesh V, Geography

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