GIS FOR COMMUNITY

Yeah the demo Guide was really nice and got to knew many more things and resources and which are extremely well versed in providing more insights.

https://www.canva.com/design/DAErsBCsn_Y/kPapRxkAeWyU1uNWY0Jcsg/view?utm_content=DAErsBCsn_Y&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink

Geospatial technology can also be used for Archaeological studies. Some features of our app and website:

1) Earth Observation to monitor Carbon Cycle

Natural forests and well-managed agro ecosystems are major

“sinks” of atmospheric carbon in Terrestrial Biosphere.

Accurate quantification of carbon fluxes of forest and agro-

ecosystems at local, regional and global scales is utmost

important for understanding the feedback mechanism

between the terrestrial biosphere and the atmosphere.

Hitherto, a quantum of research works executed to ascertain

the carbon status of vegetation/soil and advanced carbon

accounting of natural and managed ecosystems on

seasonal/annual scale over varied climate regimes.

In present context, Earth Observation (EO) satellites operated

in optical/thermal and microwave domains with frequent

revisit and improved spatial resolution providing periodic

monitoring of vegetation biomass carbon and ecosystem scale

carbon exchanges (GPP/NEP) with ground validation using

covariance (EC) towers for informed decision making on

carbon management, region policy on carbon emission targets

and input to national climate change programs. Furthermore,

availability of new airborne sensors, unmanned aerial vehicle

(UAV), sun-induced fluorescence sensors supported with in-

situ observation and process based models are providing

newer dimensions to precise carbon cycle studies and

geospatial carbon accounting using earth observation sensors.

Role of EO in Carbon Cycle Assessment : Status, Challenges

and Issues

• Measuring Ecosystem Carbon Exchange : Observational

network, Instrumentation and advanced sensors

• Up-scaling and Modeling of Carbon fluxes: Remote Sensing

and Process-based modeling

• Earth Observation and its role in Vegetation Carbon Pool

Assessment.

• Earth Observation and soil organic carbon assessment.

2}Synthetic Aperture Radar data analysis for Flood hazard Mapping

SAR application for flood hazard mapping

• Access to SAR data and processing S/W

• Processing of SAR data

• SAR based flood hazard mapping

3) Remote Sensing to predict landslide in remote areas

core utilization of remote sensing data is for

landuse / landcover map generation. Further it has

been tried to increase capability of remote sensing

data to extract single class of interest. Also to map

different stages within a given class, generate

information about specific class of interest in time

domain. In todays scenario were various remote

sensing sensor’s data is available, its gives an

opportunity to integrate these multiple sensor data in a

given application, to extract specific class level

information. So its important to explore machine/deep

learning algorithms to extract specific class level

information from multi-sensor temporal remote

sensing data sets.

4}Our app can be designed to prevent Atmospheric hazards

Space based observations have applications in a number of scientific fields like Imaging of

earth’s surface, urban and regional management, agriculture related studies, forestry,

geological studies, marine and atmospheric applications, meteorological hazards etc. In this

course, the focus is on utilization of satellite data for studying meteorological hazards. The

common meteorological hazards are tropical cyclones, droughts, bushfires, floods, heat

waves, severe dust storm, fog and hailstorms. The climate change has led to increase in the

intensity and frequency of meteorological hazards in recent past. Due to this, it is much more

important to understand the hazards, so that the various preventive and mitigating measures

can be taken. As these hazards are large-scale phenomena, ground observations are not

sufficient to properly study the events. The satellite data with advantage of large spatial and

temporal coverage are highly useful for studying and monitoring the events. In this course,

the participant shall be introduced to various satellite datasets available for detection and

monitoring of the meteorological hazards. The basics of algorithm used for retrieved of

hazard information from satellite data.

5}GIS to provide data analysis to manage Watershed Management systems

Watershed management encompasses an

integrated/comprehensive approach for proper planning,

utilization and conservation of various natural resources including

soil as well as water, resulting in the overall improvement of

resources within the area. Continuous monitoring and

assessment of various components natural resources becomes

necessary for effective Watershed Management.

Geospatial technologies including remote sensing, GIS and GPS

has emerged as a powerful tool in recent years for assessment

and monitoring of watershed management. Integrated

Watershed Management Programme (IWMP) which

was envisaged to restore the ecological balance by

harnessing and conserving soil and water resources.

our app will provide an overview of the data on

watershed management, use geospatial technologies for

watershed management including the use of digital elevation

models (DEMs) for terrain analysis of watershed, spatial

modelling of soil erosion and soil and water conservation

planning. The course is therefore of special interest for the

professionals, researchers and students interested in learning

utility of these modern technologies.Overview of RS and GIS applications in watershed

management

• Digital Terrain analysis for watershed characterization

• Geospatial modelling for soil erosion assessment

in watershed Management.

• Land Use Planning & Soil and water conservation Measures

• Monitoring of watershed development programs using RS and GIS.

6}Use Remote Sensing to analyse difficult terrains

The Moon provides an excellent opportunity to study the

uninterrupted solar-terrestrial processes and serves as a unique

laboratory for understanding the evolution of terrestrial planets.

Its airless surface has recorded the 4.6 billion years of history of

the solar system in its purest form. It has constantly been

observed utilizing various remote sensors from Earth-based

telescopes to highly sophisticated spacecrafts and advanced

sensors. The past few decades of remote sensing aided by in-situ

exploration of the lunar surface revealed by Apollo and Luna era

provided critical inputs to characterize lunar surface and

understand its evolution. These missions dramatically enhanced

our understanding about the character and evolution of the solar

system. Recently, high-resolution spaceborne imaging

spectrometry in the visible and the near infrared has also

contributed significantly to our current understanding of the

geological, physical and chemical processes occurring over the

planetary surfaces. Wealth of data acquired by the various lunar

missions including Clementine, SMART-1, LRO, SELENE,

Chandrayaan-1 & 2 and Chang’E 1-5 has resulted in some new

findings and discoveries, provided opportunities to study the

Moon by the examination of new ideas and testing data analysis

algorithms. The proposed workshop is planned to provide an

overview of theory and techniques of remote sensing of the Moon

and their applications in analyzing lunar surface characteristics and

its geology with special emphasis to NASA lunar missions.

• Reflectance spectroscopy and detection of endogenic

water on the Moon: Examples from recent lunar Missions.

Mg-Spinel Mineralogy on the Moon

Recent advances in radar exploration of the Moon.

• Lunar South Pole Aitken basin - understanding mantle

geochemistry remotely.

But question arises who will be the users of our EOGIS App?

Remote villages and localities who are threatened by flash floods, landslides and other natural calamities

• Soil and Water Conservation Officers

• State Land Resources / Departments / Training Academies

• State Watershed Directorates

• Central/State/Private Universities & Academic Institutions

• Central & State Government Departments

• Research Institutes / Research scholars

• Geospatial Industries

NGO's

What is Synthetic Aperture Radar? | Earthdata - NASA

https://earthdata.nasa.gov › l

Home – NASA-ISRO SAR Mission (NISAR)

https://nisar.jpl.nasa.gov

Global Maps - NASA Earth Observatory

https://earthobservatory.nasa.gov › global-maps

Earth | NASA

https://www.nasa.gov ›

Explore Google Earth.

https://earth.google.com

I was excited and eager to learn .This was my second online hackathon and it:

• Pushed me to complete a task in a short period of time.
• Helped in networking with brilliant people around the world.
• Showed me the areas where you can improve.
• Enhanced my soft skills.
• Helped me in learning new skill.
• Coordinate with people to accomplish a task.
• Helped me to think out of the box.
• Motivated me by bringing passionate and hardworking people together.

• Web AppBuilder for ArcGIS - tailored towards web apps, this tool focuses on the ability to access and manipulate layers, as well as widgets to better tailor your final application.

• Leaflet.js - This is a custom, open-source library for creating maps. Aside from using JavaScript, which already makes it highly useful in most application projects, the API is easy to use and, since it launched in 2012, it’s continued to have a large community to offer constant support.

• Turf.js - This is a similar JavaScript library. It can be used to perform geospatial functions, such as calculating distances or preparing heatmaps. As such, there are many projects which can greatly benefit from the streamlined nature of Turf.js.

• OpenStreetMap (and Overpass-Turbo) - This is one of the largest sources of map data available. It’s open source, which ensures its contributors are regularly adding to each “weekly planet file”. It’s quite substantial - at 40 GB plus! - but it includes data on buildings, roads, natural features and more. We also recommend using it with Overpass-Turbo, which is an interactive site for performing queries on OpenStreetMap’s database.

• OpenLayers - Another open-source JavaScript library, OpenLayers is pretty straight forward. It helps us easily put a map into our applications, as well as add layers and import data from numerous sources.

#Identifying risk with science+Communities.#Flood Mapping #Remote Sensing #Geographic Information System #Landslides#Synthetic Aperture Radar