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(Satellite Image Corporation Agro Watch Green Vegetation Index) 18. Milky Way – Surveying the inner part of the Milky Way Galaxy with GLIMPSE (Galactic Legacy Infrared Midplane Extraordinaire) 51.
One year in the making, these are some of your favorite GIS applications you haven’t heard of yet: GIS student project ideas, GIS case studies, GIS projects, GIS uses – From over 50 industries, this jam-packed guide of 1000 GIS applications will open your mind to our amazing planet and its inter-connectivity. Precision Farming – Harvesting more bushels per acre while spending less on fertilizer using precision farming and software. Disease Control – Combating the spread of pests through by identifying critical intervention areas and efficient targeting control interventions. Swiss Alps Farming – Cultivating south-facing slopes in the Swiss Alps using aspect data because it shelters from cold and dry winds which is critical to successful crop growth. 3D Scanners for Biomass – Measuring with laser accuracy 3D biomass using the FARO scanner. Real-time Crop Yields – Shifting to real-time crop monitoring and targeted, automated responses with drones and precision watering sensors. Current Food Security – Safeguarding food insecure populations by establishing underlying causes through satellite, mobile-collected and GIS data storage. Agri-tourism – Navigating through crop mazes with GPS receivers in the developing field of agri-tourism. Plant Hardiness – Defining distinct boundaries in which plants are capable of growing as defined by climatic conditions. Machine Performance – Logging geographic coordinates of agricultural machinery in a farm field to better understand the spatially variability cost of field operation and machinery performance. Future Food Demand – Diagnosing the future food demand and planning how to fulfill the needs of a growing and increasingly affluent population. Crop Assimilation Model – Simulating soil, water and crop processes to better understand crop productivity and monitoring using the Crop Assimilation Model tool in GRASS GIS. Water Stress – Balancing the ratio of local withdrawal (demand) over the available water (supply). Historical Agricultural Land – Plotting the historical and future farming trends served. Hunger Map – Raising awareness about global hunger and places that are in need. Agromap – Breaking down primary food crops by sub-national administrative districts and aggregating by crop production, area harvested and crop yields. Crop Resilience to Climate Change – Adapting to climate change and shifting weather patterns by promote the continued health of your fields. Crop Productivity – Calibrating crop productivity using indices like Normalized Difference Vegetation Index (NDVI) to estimate global crop productivity.
Global Ecology Land Units – Characterizing distinct physical environments and associated land cover of global ecosystems (USGS). Biogeography – Studying ecosystems in geographic space and through (geological) time along geographic gradients of latitude, elevation, isolation and habitat area. Species Modelling – Running the Maximum Entropy Model (MAXENT).
(QGIS Species Distribution Modelling (QSDM) plugin) 301.
Shannon’s H Diversity Index – Measuring mathematically species diversity and richness in a community. Microclimates – Analyzing exposure to sunlight with aspect data as an indication of microclimates and species occurrence. Topographic Ruggedness Index – Estimating terrain heterogeneity which is useful for predicting which habitats are used by species 294.
De-Extinction – Bringing extinct species back to life and marking their previous habitats – like the passenger pigeon from 5 billion birds to zero in a couple of decades. Sky View – Maximizing the portion of visible sky and understanding potential forest habitat. Frag Stats – Computing a wide variety of landscape metrics for categorical map patterns. Topographic Position Index – Classifying the landscape into slope position and land-form category 298.
Arctic Research Projects – Displaying research projects, showing available data and exploring possible collaborations. Arctic Ocean Floor – Sculpting the Arctic Ocean with the sonic depth finder and discovering dynamic with trenches, ridges and abyssal plains. Arctic’s Geology – Interpreting the geology of the Arctic using enhanced magnetic data, Landsat imagery and topographic data. COMNAP Facilities – Mapping out the COMNAP facilities in Antarctica that currently supports a range of scientific research. Polar Bear – Keeping counts of the most vulnerable populations of polar bear (due to climate change) by comparing two satellite images over time. Search and Rescue – Lunging into search and rescue operations using the Safety and Operability Index which calculates risk based on factors such as sea ice, visibility, temperature, distance from SAR resources. Environmental Risk – Assessing the environmental vulnerability of marine resources with respect to oil spill as external stressor. Polar Ice Melt – Monitoring the polar ice melt using satellites like GOCE and GRACE that measures how much mass is on Earth. Stream Order – Defining stream size based on a hierarchy of tributaries the Strahler Index (or Horton-Strahler Index) – an important indicator of fisheries and aquatic habitat. Fish Habitat Models – Connecting fish species with their habitat using habitat suitability indexes. Whale Tracking – Stalking pigmy killer, sperm, beaked and false killer whales in the Pacific Ocean with online mapping applications. Global Shark Tracker – Monitoring sharks recovery rates with acoustic tags allowing detection in multiple dimensions. Fish Eradication – Eradicating Northern pike which negatively affect local trout fishery and the economy by tracking their movements with GPS. Spawning Sites – Drawing spawning site boundaries for migratory fish that are known to release eggs. Hydro-Acoustics – Listening to echoes with hydro-acoustics for the Crean Lake Hydro-Acoustics project – capturing lake depth, fish class, fish stock numbers, habitat preference related to temperature. Mercury in Stream – Grasping the origin of mercury – which are contaminants to fish tissue – by studying the landscape such as soils and humus. Fish Habitat Conservation Areas – Fine-tuning fish habitat conservation areas by knowing the big picture of fish distribution. Overfishing – Maintaining sustainable fish population levels with satellite monitoring of sea surface temperature and ocean colors (because they are indicative of specific fish species). Stress Monitoring – Correlating fish stresses from the local environment such as heat stress from the removal of trees along a stream. SCIMAP – Identifying locations of diffuse pollution risk for polluted water and aquatic habitat using SCIMAP. Live Air Traffic – Turning your computer into air traffic control center using Flight Radar 24. Airplane Identification – Pointing your phone to the sky and identifying airplanes above you using Flight Radar 24. World’s Busiest Airports – Surfing the world’s top 25 busiest airports with the Esri Global Crossroads Story Map. Voronoi Diagram – Discovering that Mataveri Airport in Easter Island is the most remote airport in the world with the Voronoi airport proximity map. Obstruction Evaluation – Securing safe take-offs and landings with the Federal Aviation Agency’s (FAA) vertical obstruction database 115.
(Commission for the Conservation of Antarctic Marine Living Resources) 90.GPS bracelets only have value if you know where they are going. Augmented Reality Sandtable (ARES) – Improving battlespace visualization with projected GIS data on a sandtable. Terrorism Search – Finding Osama Bin Laden using remote sensing imagery with biogeographic theory (distance-decay theory and island biogeography theory). Anti-aircraft – Answering anti-aircraft gun reach using 3D dome layers to avoid dangerous airspace (Anti-aircraft) 216.Safe Landings– Parachuting from the skies safely by evaluation the underlying surroundings of the area. Intelligence Data Integration – Overlaying accurate geographic data for battlefield application and make life saving decisions 218.Supply and Demand – Identifying under-served areas and analyzing your competitor’s market. Community Reinvestment Act (CRA) – Fulfilling the obligations to loan in areas with particular attention to low- and moderate-income households – using GIS to understand spatial demographics. Mobile Banking – Capturing locations where existing mobile transaction occur and assisting in mobile security infrastructure. Fleet Management – Staying in route and solving scheduling problems with fleet management. Augmented Reality – Augmenting reality with commercial use in mind – such as advertising and restaurant reviews. Direct Marketing – Revitalizing selling strategies by reaching out to customers directly with locational intelligence. Drive-Time Analysis – Determining a trade area based on how long a customer must drive to get to the store – factoring in street speed limits, traffic volumes, and other impedance. Internet of Things – Improving efficiency, accuracy and economic benefit through a network of physical objects such as devices, vehicles, buildings and other items—embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange information with one another. Market Share Analysis – Optimizing the locations of facilities so the allocated demand is maximized in the presence of competitors using tools like location-allocation in Arc GIS. Nearest Location – Resolving the nearest gas station, restaurants or coffee shop using GPS-based positioning and geocoded business data. Property Appraisal – Appraising residential properties using Census data and finding your property online through interactive property assessment viewers. Internet Geocoding – Mapping and analyzing user generated geocoded data to get a glimpse of what internet users (in the aggregate) think about particular places. Geocoding Businesses – Pinpointing anything to everything from restaurants, banks and donut shops with a list of addresses. Reverse Geocoding – Geocoding in reverse; taking locations from a map and listing their addresses. Daytime Population – Marketing products effectively with detailed daytime population demographics for an area reflecting who works in that area as opposed to residential demographics. Local Advertising – Advertising through social, local and mobile mediums through location and making presence more known. Tax Havens – Sheltering tax through tax havens then putting it all on a map. Geo Branding – Increasing credibility and increasing sales with prospective clients, vendors and media by conveying complex data to increase sales. Desire Lines – Plotting desire lines showing stores that serves customers.(Origin and Destination – QGIS Oursins Plugin) 157.