GregCocks, to mapmaking
@GregCocks@techhub.social avatar

Joe Davies - Data Visualization & GIS At Eurostat. Exploring New Ways Of Making Maps

https://observablehq.com/@joewdavies <-- link to a portfolio

I don’t know Joe, but I came across Joe’s work in my role as a geologist (the world topobathy image), and I was impressed so I sought out more; I think you will be impressed as well… [not considered a specific endorsement though, just my personal opinion, you know the drill]…

@joewdavies

animated representation (in original) - world's earthquakes
screen shot - Joe W Davis' home page
map - global - world topobathy visualisation

GregCocks, to Futurology
@GregCocks@techhub.social avatar

Satellite Imagery Covering Catchments Of Indian Himalayan River Basins Show Significant Changes In Glacial Lakes

https://www.thehindu.com/sci-tech/energy-and-environment/satellite-imagery-covering-the-catchments-of-indian-himalayan-river-basins-show-significant-changes-in-glacial-lakes/article68094828.ece <-- shared media article

https://www.isro.gov.in/Satellite_Insights_Expanding_Glacial_Lakes_Indian_Himalayas.html <-- shared technical article


@ISRO

map - glacial lakes and IHR basins, India Himalayas
photo - glacial lake in mountainous terrain in Indian Himalayan region
satellite images - The long-term changes in the Ghepang Ghat Glacial Lake area

GregCocks, to Battlemaps
@GregCocks@techhub.social avatar

Calculating NDVI In QGIS

https://www.northrivergeographic.com/calculating-ndvi-in-qgis/ <-- shared technical ‘how-to’

#GIS #spatial #mapping #remotesensing #earthobservation #forestry #forest #vegetation #QGIS #NDVI #NormalizedDifferenceVegetationIndex #tutorial #howto #education #Onlineclass #OnlineEducation #onlinelearning #NAIP #imagery #spatialanalysis

photo - hard wood forest in Tennessee in the autumn
screen shot - QGIS result part as part of NDVI analyses
screen shot - QGIS result part as part of NDVI analyses

GregCocks, to China
@GregCocks@techhub.social avatar

A National-Scale Assessment Of Land Subsidence In China’s Major Cities

https://doi.org/10.1126/science.adl4366 <-- shared paper

schematic / cross section - Associations between city subsidence and natural and human factors.
charts - Population living on subsiding urban lands
maps and chart - National pattern of city subsidence, China

GregCocks, to France
@GregCocks@techhub.social avatar

Spatiotemporal Analysis Is 17,000 Years Old – Or Maybe More?

https://subscription.packtpub.com/book/programming/9781837639175/2/ch02lvl1sec05/history-of-geospatial-analysis <-- shared text

https://doi.org/10.1017/S0959774322000415 <-- shared paper

[Snow and Picquet were not first, as amazing as they were...]
“Geospatial analysis can be traced back as far as 17,000 years ago [or more], to the Lascaux cave in southwestern France. In this cave, Paleolithic artists painted commonly hunted animals and what many experts recently concluded are dots representing the animals’ lunar cycles to note seasonal behavior patterns of prey, such as mating or migration…”

photos - Examples of animal depictions associated with sequences of dots/lines. (a) Aurochs: Lascaux, late period; (b) Aurochs: La Pasiega, late; (c) Horse: Chauvet, late...; (d) Horse: Mayenne-Sciences, early; (e) Red Deer: Lascaux, late; (f) Salmon: Abri du Poisson, early; (g) Salmon (?): Pindal, late; (h) Mammoth: Pindal, early.

waeiski, to python
@waeiski@vis.social avatar

I've been thinking about myself as a coder a lot. I learnt through its variety and . The course I initially went on used those, so I use them to write scripts.

However, I wonder whether I should learn what are about and potentially another IDE like or / , but also actual software architecture and development things. Not to mention things like , , or that interest me.

GregCocks, to lunar
@GregCocks@techhub.social avatar

The Moon Has A Curious Effect On The Sounds Emanating From Coral Reefs

https://www.sciencealert.com/the-moon-has-a-curious-effect-on-the-sounds-emanating-from-coral-reefs <-- shared technical article

https://doi.org/10.1371/journal.pone.0299916 <-- shared paper

#GIS #spatial #mapping #coralreef #astrobiology #moon #lunar #lunarcycles #fish #noise #vocalisations #oceangraphy #ecosystem #activity #soundscape #pulsetrains #moonlight #hydrophones #sonic #monitoring #model #modeling #numericmodeling #Hawaii #acoustics #reefhealth #ecosystemhealth #spatiotemporal #spatialanalysis

photo - cuttlefish at night
charts - changes in ambient noise during moonlight hours
charts / sonagraphs - high frequency pulse trains from fish

GregCocks, to uk
@GregCocks@techhub.social avatar

Review Of Methodology For Estimating Flood Peaks And Hydrographs For Small Catchments [UK]

https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/review-of-methodology-for-estimating-flood-peaks-and-hydrographs-for-small-catchments <-- shared technical article

graphic - report cover
map - sites used in comparisons
photo - flooding with canal boat and swans in front yard of semi-detached houses

GregCocks, to worldwithoutus
@GregCocks@techhub.social avatar

How Melting Arctic Ice Leads To European Drought And Heatwaves

https://insideclimatenews.org/news/01032024/links-between-melting-arctic-ice-and-summertime-extreme-weather-in-europe/ <-- shared technical article

https://doi.org/10.5194/wcd-5-109-2024 <-- shared paper

#GIS #spatial #mapping #spatialanalysis #spatiotemporal #arctic #climate #climatechange #europe #ice #meltingice #drought #heatwaves #Greenland #northatlantic #model #modeling #numericmodeling #interaction #inflow #freshwater #weather #research #water #hydrology #marine #oceangraphy #climatology #extremeweather

maps - The Combined Drought Indicator—used to identify areas affected by agricultural drought, and areas with the potential to be affected—estimated for the first 10 days of each month from April to September 2022. Credit: European Commission, Joint Research Centre
photo - The Wamme river is seen at a low level during the European heatwave on Aug 10, 2022 in Rochefort, Belgium
maps - Climatological mean (a) SST, (d) meridional winds at 700 hPa, (g) 2 m air temperature, and (j) precipitation minus evaporation in summer (May through to August). Regressions of (b, c) the SST (colour shading) and 700 hPa winds (arrows), (e, f) the meridional winds at 700 hPa, (h, i) the 2 m air temperature, and (k, l) the accumulated precipitation minus evaporation on FE in (b, e, g, k) the first and (c, f, h, l) the second summer (May through to August) after the freshwater anomalies (indicated by the “+1” and “+2” in the titles). We removed large-scale trends from the air temperature to reduce the direct warming effect of greenhouse gases (Sect. 2), and we excluded the anomaly in 2016 since it exhibited a different spatial SST distribution from the other anomalies (Fig. A1). Thick contours encompass regions that are significant at the 95 % confidence level, and the red and blue dotted lines in (b) and (c) delineate the regions in which the SST anomalies exceed 2 ∘C and fall below −2 ∘C.

GregCocks, to 3dmodeling
@GregCocks@techhub.social avatar

Future Changes In Global Atmospheric Rivers Projected By CMIP6 Models

https://doi.org/10.1029/2023JD039359 <-- shared paper

maps and charts - (a) Atmospheric river (AR) characteristics, including duration, interval, area, and intensity during the DJF globally. The central plot displays the increase in AR frequency between the far-future (SSP585; 2070–2099) and the historical (1980–2009) periods, with the climatological AR frequency in the historical period represented by the contours. Black dots indicate unanimous frequency changes among CMIP6 models. The red rectangles are the boundaries of the target regions and the black hatches are the selected land regions. The surrounding plots show 2D Kernel Density Estimation (KDE) maps for AR characteristics over the historical period and far-future under different scenarios displayed in the bottom right corner for eight regions. The univariate distributions of the characteristics are shown on the outer axes of each subplot. (b) The comparison of the KDE maps for three selected regions with ARs detected with GuanWaliser_v2 and Mundhenk_v3 AR detection tools (ARDTs). Note that only the SSP585 scenario is available for the far-future period in these two data sets. The legend is the same as in Panel (a). Note that the figures of PanLu ARDT are presented based on daily scale data sets, while the figures of GuanWaliser_v2 and Mundhenk_v3 ARDTs are presented on 6-hourly scale data sets due to data accessibility.
graphic - what is the science behind atmospheric rivers
maps and charts - Projected increase in panel (a) atmospheric river (AR) frequency and (b) AR-induced precipitation for DJF and JJA in Northern Hemisphere and Southern Hemisphere under the SSP585 scenarios. The shading represents the differences between the far-future (2070–2099) and historical (1980–2009) periods, with contours delineating the historical climatology. ARs detected with the PanLu, GuanWaliser_v2 and Mundhenk_v3 method are all shown. Note that the figures of PanLu ARDT are presented based on daily scale data sets, while the figures of GuanWaliser_v2 and Mundhenk_v3 ARDTs are presented on 6-hourly scale data sets due to data accessibility.

GregCocks, to Wyze
@GregCocks@techhub.social avatar

USGSLiDAR [easier USGS 3DEP elevation data access]

https://github.com/bmcgaughey1/USGSlidar <-- shared GitHub repository


@USGS

graphic / model - point cloud - forest (from LiDAR data)
graphic / model - point cloud - forest clearing (from LiDAR data)

GregCocks, to RadioControl
@GregCocks@techhub.social avatar

The Case For Remote Sensing Of Individual Plants

https://doi.org/10.1002/ajb2.1347 <-- shared short article

# interpretation

aerial images - High-resolution images from the Planet Labs constellation of cube-sats detect flowering individual trees in the Peruvian Amazon (yellow objects in panel A) and Colombian Amazon (pink objects in panel B). Many thousands of flowering individuals are apparent across hundreds of kilometers of Amazonian forest in these flowering events. Scale bar = 500 m.
aerial and oblique remotesensing-created images - Drone remote sensing of individual trees. (A) Ultra-high-density drone lidar resolves individual tree structure in a temperate beech forest in the southern Czech Republic. Colors indicate elevation, and the tallest trees are about 40 m aboveground. Measurement density here is 4323 points per square meter. (B) High-spatial resolution optical remote sensing from a low-altitude drone in the Atlantic lowlands of Costa Rica. We used methods from computer vision to construct three-dimensional scene geometry from two-dimensional images. The image is a natural color composite. (C) Same area as B, but colored by surface elevation, where warmer colors indicate taller objects. A single Goethalsia meiantha crown is outlined in white. The area of this crown is 157.3 m2. At a pixel size of 1 cm, this crown contains 1.573 × 106 pixels, demonstrating the tremendous increase in measurement density at high-spatial resolution. Scale bar in B and C = 30 m.
graphic / schematic - drone performing remote sensing on a tree

whiteboxgeo, to python

We've recently released a plugin for Whitebox Workflows for Python (WbW). Now you can access this powerful library from an easy-to-use GUI.

QGIS plugin: https://plugins.qgis.org/plugins/whitebox_workflows_for_qgis/#plugin-about

WbW: https://www.whiteboxgeo.com/whitebox-workflows-for-python/

GregCocks, to geopolitics
@GregCocks@techhub.social avatar

Integrating Remote Sensing With Ecology And Evolution To Advance Biodiversity Conservation

https://doi.org/10.1038/s41559-022-01702-5 <-- shared paper

maps and charts - Field sampling and remote sensing are complementary approaches for capturing functional diversity across the globe.
maps and charts - Remote sensing can contribute to uncovering the legacies of evolutionary history and human activity that influence the variation in composition and function of ecosystems across tropical floras (Neotropical, Afrotropical and Indo-Malay/Australasia).
photo and aerial image combined - lions and the land they stand on

GregCocks, to climate
@GregCocks@techhub.social avatar

2023 Was The World’s Warmest Year On Record, By Far

https://www.noaa.gov/news/2023-was-worlds-warmest-year-on-record-by-far <-- shared technical article


@NOAA @NCEI

oblique aerial photo - July 3, 2023: An aerial view of low water levels at Woodhead Reservoir in Glossop, England, after the United Kingdom sweltered through its hottest June on record. 2023 was the world’s warmest year on record, beating the next warmest year (2016) by a record-setting margin of 0.23 of a degree F (0.13 of a degree C).
oblique aerial image - Manuel Flores walks on a dry area that shows the drop in the level of Lake Titicaca, Latin America's largest freshwater basin, as it is edging towards record low levels, on Cojata Island, Bolivia October 26, 2023.

animation - Map of global average surface temperature in 2023 compared to the 1991-2020 average, with places that were warmer than average colored red, and places that were cooler than average colored blue. The bars on the graph shows global temperatures compared to the 20th-century average each year from 2023 (right) back to 1976 (left)–the last year the world was cooler than average.

GregCocks, to environment
@GregCocks@techhub.social avatar

Remote Sensing And Satellite Technology For Green Sustainability

https://tracextech.com/remote-sensing-and-satellite-technology-for-environmental-monitoring/ <-- shared technical article

[This post is not considered an endorsement of this specific company or product, but is shared for the overview they provide of remotesensing]

graphics / images - remote sensing - drone - trees and canopy, oblique and vertical
graphic / image - remote sensing - meanders in a river over time based on LiDAR elevation data
graphic - schematic - overview of remotesensing approaches and types

GregCocks, to climate
@GregCocks@techhub.social avatar

How Mapping 'Heat Islands' Can Help Cities Prepare For Extreme Heat

https://www.npr.org/2024/02/01/1227692559/how-mapping-heat-islands-can-help-cities-prepare-for-extreme-heat <-- shared media article

https://www.heat.gov/pages/mapping-campaigns <-- NOAA / CAPA CAPA Heat Watch / Urban Heat Watch Program

https://www.noaa.gov/news/2023-was-worlds-warmest-year-on-record-by-far <-- NOAA report, 2023 was the warmest year on record


@NOAA

photo - A thermal imaging device attached to an iPhone shows a range of temperatures with reds and oranges representing hot conditions. Some cities are mapping heat to better understand how to prepare for extreme temperatures.
graphic / schematic - urban heat island effect
map - the urban heat island effect and land surface temperature in new jersey, summer 2022

GregCocks, to Energy
@GregCocks@techhub.social avatar

Spatially Balanced Sampling And Ground-Level Imagery For Vegetation Monitoring On Reclaimed Well Pads

https://doi.org/10.1111/rec.12956 <-- shared paper

aerial photo - oblique - multiple drill/well pads & access roads, Wyoming
photo - vegetation, Wyoming
photo - well head & vegetation, Wyoming

GregCocks, to Plants
@GregCocks@techhub.social avatar

The Global Distribution Of Plants Used By Humans

https://www.science.org/doi/10.1126/science.adg8028 <-- shared technical article

chart / graphics - Latitudinal distribution of utilized plant species richness across 10 categories of plant uses
maps and charts - Spatial correlations between utilized plant species richness and proportions of both Indigenous lands and terrestrial protected areas.
maps - Global species richness and endemism of plants with known uses by humans

GregCocks, to geopolitics
@GregCocks@techhub.social avatar

Global Maps Of Cropland Extent And Change Show Accelerated Cropland Expansion In The Twenty-First Century

https://doi.org/10.1038/s43016-021-00429-z <-- shared paper

bubble plot chart - Total and per-capita cropland area change, 2003–2019, per geographic region (across globe)
map - Global cropland extent and change, 2000–2019.
chart - Global cropland area (map based and sample based) and annual cropland NPP

GregCocks, to geopolitics
@GregCocks@techhub.social avatar

Mapping The Planet’s Critical Areas For Biodiversity And Nature’s Contributions To People

https://doi.org/10.1038/s41467-023-43832-9 <-- shared paper

map - global - Prioritized areas for nature’s contributions to people (NCP) and biodiversity
photo - river crossing in jungle made from fallen tree
maps - global - Prioritized areas for nature’s contributions to people and biodiversity (NCP) that also have high development potential across several economic sectors

underdarkGIS, (edited ) to random
@underdarkGIS@fosstodon.org avatar

New year, new start: I'm rebooting the Processing Trajectools plugin development. Trajectools v2 builds on and exposes its trajectory analysis algorithms in the Toolbox. More:

http://anitagraser.com/2024/01/12/trajectools-v2-in-the-works/

GregCocks, to australia
@GregCocks@techhub.social avatar

It’s Not Just The Total Rainfall – Why Is Eastern Australia Experiencing Such Sudden, Devastating Downpours?

https://www.theguardian.com/australia-news/2024/jan/06/flash-flooding-cyclones-global-heating-australia-wild-weather <-- shared media article

https://doi.org/10.1038/s41558-018-0245-3 <-- shared paper

https://doi.org/10.1007/s00382-020-05167-9 <-- shared paper

https://doi.org/10.1038/nclimate2235 <-- shared paper

maps - Australis - long-term maps of thunderstorm environments, presented for individual seasons
maps - Australia - average seasonal rainfall totals based on the period 1979 to 2016, including changes
photo - streets flooded, Brisbane, Australia

GregCocks, to conservative
@GregCocks@techhub.social avatar

Shipwreck Ecology - Understanding The Function And Processes From Microbes To Megafauna

https://doi.org/10.1093/biosci/biad084 <-- shared paper

[as a scuba diver who has done some wreck diving in various places around the world, there is an extra layer of interest here for me…]

photos - examples - shipwreck habitats
maps - shipwrecks - globally
graphic - fundamental ecological functions and processes occurring on shipwrecks

udemsar, to conservative
@udemsar@mastodon.scot avatar

Open PhD position:🌟A fully-funded PhD on dolphins' movement in the Adriatic Sea🌟 as a collaboration of St Andrews University and https://Morigenos.org

Application DL 9/2/2024, see Current Funded Opportunties here: https://www.st-andrews.ac.uk/geography-sustainable-development/prospective/pgr/

Project description: https://www.st-andrews.ac.uk/assets/university/schools/school-of-geography-and-sustainable-development/documents/EDWARD~2.PDF

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