Cartography and Geographic Information Society’s Post

#CARTOGRAPHIC #CREATION Recently we can see the summer is changing, the monsoon is changing, the winter-is changing. This world , yes! it is changing to a gigantic extent. I have followed the ARCGIS tutorials from their website to build this map. The dataset represents monthly ice extents for the Arctic since 1978. This data is from the #NationalSnowandIceDataCenter, through #ArcGISLiving #Atlas of the #World. Projection used here is : North Pole Lambert Azimuthal Equal Area.(As for polar area Azimuthal projections are excellent and suitable). Choosing these icey cool symbiology I hope gives you chills!! If you notice, in #2012 the highest decline in ice cover is found. A little below this and the #ICE cover will be gone. The dotted #red line in #chart symbolizes the danger alert, that says"We are very close to the utmost danger". #arcticicecover #arctic #arcgis #arcgispro #esri #esritutorials #livingatlas

Terrain or relief (also topographical relief) involves the vertical and horizontal dimensions of the land surface. Bathymetry describes underwater relief, while hypsometry studies terrain relative to sea level. The Latin word terra (the root of terrain) means "earth."

"The new interactive map breaks down avalanche exposure into four categories based on the type of terrain: simple, challenging, complex, and extreme." #ableg #abpoli https://lnkd.in/g-dDtbf8

Check out our latest vlog to discover the Dynamic Hill Shading tool. Watch it now to see how hill shading can bring your terrain data to life: https://ow.ly/B4ov50R7KAf - #DynamicHillShading #Vlog

Do you think the prototype of Dune Fremen Thumper Sandworm Caller could be a Seismic Sensor?😏 We are not sure about it) But there are some common features with our SNG seismic sensor and Sandworm Caller: ✔️Perfect operation in the desert  ✔️No power and infrastructure is needed  ✔️Fast and easy installation ☑️And as a bonus, our sensor does not call a sandworm, but in advance notifies the intruders approaching the protected object👏🏼 Other important benefits of the SNG👇🏻 • Seismic, break-wire sensor, repeater modes • Intruders’ classification: human, vehicle • Detection range (max. sensing radius): 🚶🏻♂️Human (walking, running, crawling, digging, tunneling): up to 170 m 🚘Vehicle: up to 300 m  🔋Battery life: up to 5 years Source: Dune:Part II by Denis Villeneuve #ugs #perimetersecurity #perimeterprotection #industrialsecurity #lawenforcement #securitysystems #unattendedgroundsensors #securitysolutions #security #omtrex

#Wildfire burn area mapping using #RemoteSensing is crucial for effective #DisasterManagement, #EcologicalRestoration, and #ClimateChange studies. By leveraging satellite imagery and sophisticated indices like #TBI, we can enhance our understanding of fire dynamics and mitigate their impacts on natural environments and human communities. Test methods: • New Temporal Burn Index (TBI) • Normalized Burn Ratio (NBR) Platform: GEE Sensors: Landsat 8 and 9 Path/Row: 18/24 Region: Canada Temporal period: 2023-07-01 to 2023-11-30 No. of Pre-fire image(s) = 1 No. of Post-fire image(s) = 12 NOTE: The #TBI automatically masks #waterbodies, #clouds, and other land #features, ensuring it maps only the #burnarea. #wildfires #wildfiremapping #remotesensing #earthobservation #satellites #sensors #Landsat8 #Landsat9 #disastermanagement #ecologicalrestoration #climatechange #TBI #NBR #dNBR #FireRiskAssessment #SatelliteImagery #canada #wildfire #fireservice

A short guide by Hong Xu and Keith VanGraafeiland to analysis of physical oceanographic data (e.g., for canopy height, sea surface height, ice thickness) using Trajectories in #ArcGISPro https://lnkd.in/gkuq-ipW #remotesensing #earthobservation #satelliteimagery #SST #seasurface cc Group on Earth Observations (GEO)

  On Monday, we collected a multispectral satellite image of the Izmir wildfire to assist with damage assessment.    Turkey experiences 124 fires per year on average. This was one of them.    ➡️ What makes multispectral imagery such a valuable tool for wildfire management?    First, satellite images are used to assess and mitigate the risk of wildfires. These are some of the ways to identify high risk areas:      🔸 Analyse the vitality of vegetation.  🔸 Map vegetation density.  🔸 Identify areas of deadwood, for example due to bark beetle attack, as these are at a higher risk of fire.    During the event, when smoke makes it impossible to see anything from above and sending aircraft may be even dangerous, using a satellite sensor with multispectral bands improves the visibility because it can penetrate through the smoke to a certain degree.     Satellite imagery can monitor fires from a safe distance, yet with an incredible amount of detail, and cover hundreds of square kilometres in a single pass.    When the fire is over, satellite images are used for damage assessment.    The distinct advantage of 8 bands is that not only can the user see burnt vs healthy vegetation, but also by utilising the longer wavelengths of the near-infrared (NIR) spectrum, they are able to penetrate haze, light fog, smoke and other atmospheric conditions better, which allows them to spot and analyse features on the ground.    This 8-band image shows the damage after the wildfire near Izmir, Turkey. ⬇️    #emergencymanagement #fire #fireprevention #disasterresponse #wildfires    Satellite image © Maxar Technologies Provided by European Space Imaging 

Great data layer to overlay with that new nationwide parcel layer AND the USFS fire hazard layer showing “direct” and “indirect” fire hazard. Hmm…

The problem of the day: Number of Islands Approach: The approach used in the modified code is Depth-First Search (DFS). Here's how it works: 1. Traversal: We traverse the entire grid, checking each cell. When we encounter a cell with a value of '1' (indicating land), we mark it as visited and start a DFS from that cell to explore and mark all adjacent land cells belonging to the same island. 2. DFS Marking: During DFS traversal, we mark each visited land cell as '0' to indicate that it's already counted as part of an island. This ensures that we don't count the same island multiple times. 3. Counting Islands: Each time we start a new DFS traversal from a cell with a value of '1', we increment the count of islands. This count represents the total number of disconnected islands in the grid. Complexity: Time Complexity:O(m*n) Space Complexity:O(m*n) link:https://lnkd.in/g3-G88H9