#remote-sensing

Remote Work in 2026: The Trend That Refused to Reverse

What the Latest Data Says About Where Professional Work Is Actually Heading

Color Segmentation on Satellite Imagery: From HSV Thresholds to Spectral Bands

I set out to practice one specific OpenCV skill: color segmentation, the task of isolating regions of an image by color. I learn tools best…

Pemetaan Penutup Penggunaan Lahan dengan Model Random Forest, Minimum Distance, KNN, Naive Bayes…

Pada uji coba ini, saya melakukan perbandingan beberapa algoritma klasifikasi yang tersedia di Google Earth Engine (GEE) untuk memetakan…

What Is GeoAI, Really? A Plain-English Map of an Emerging Field

Article 1 of a 40-part series on GeoAI for the working GIS professional.

Native BIOMASS Support in ESA SNAP 13

ESA SNAP 13 now includes the first generation of BIOMASS product support for ESA’s BIOMASS mission through the Microwave Toolbox. This is a…

There is no Geo in GeoAI

TL;DR

Your Webcam Can Read Your Heartbeat — Here’s How We Taught It To

How we measured heart rate and the tiny rhythm changes between beats, using nothing but an ordinary camera and some signal-processing…

What is Remote Sensing?

This blog is inspired from iirs -distance learning programme by isro and iirs ( Institute of remote sensing Dehraun) which i had attended.

Satellites Can Read Soil Chemistry from Orbit. Here’s the Spectral Science Behind It.

Organic carbon, salinity, zinc, and pH — each leaves a distinct electromagnetic fingerprint on the surface. Here is how sensors decode it.

Orangutan (Pongo pygmaeus) habitat suitability mapping based on remote sensing imagery in forest…

Abstract

Why are Scientists Deliberately Spilling Oil into the Ocean?

Researchers have developed algorithms that can detect oil spills in satellite radar images. But detection is only the first step.

Why Mapping Cities from Space Is Surprisingly Hard and How a Three Index Formula Solves It.

Urban surfaces and bare soil are nearly spectrally identical. The fix required building an index out of other indices.

Frequências Orbitais — Bandas Espectrais

Este guia sobre Bandas Espectrais de satélites nasce como um caderno pessoal para minhas revisões e consultas rápidas. Embora seja um tema…

From Space, Concrete Looks Like Water. Here’s How Remote Sensors Tell Them Apart.

The index that maps floods and rivers has one critical flaw and fixing it required a completely different region of the spectrum.

NDVI Is the Gold Standard for Measuring Plant Health. Here’s Why Scientists Keep Replacing It.

The most cited vegetation index in remote sensing has two fundamental failure modes — and fixing them built an entire field.

Skill Saturation Amidst Rupiah Depreciation

Inflasi malah jualan batu?

The Energy-Illumination Paradox: Decoding Melbourne’s Night-Time Sky

Unpacking 9 years of satellite data, COVID lockdowns, LED mandates, and civil mega-projects to better understand a major radiometric…

Forest Health Monitoring Technology: How Remote Sensing, IoT Sensors, and AI Are Detecting Tree…

A forest can look healthy to the naked eye while experiencing serious stress below the surface. Drought damage develops in root systems…

Why Is NASA Firing Lasers at Trees From Space?

They Even Called It GEDI

Presenting Global Coastal Map @10m

This is my first blog post in a long time, and fittingly, it’s about a dataset that I created and published some time ago.

The Incoming Wave of Urban Heat Waves

Dr. Joshua B. Fisher Science Lead, Hydrosat

Eyes Over the Ocean

How Radar Satellites Detect Oil Spills from Space

Your Satellite Image Is Just Raw Numbers. Here’s the Formula That Makes It Meaningful.

The math behind every satellite index is simpler than you think — and understanding it changes how you read the planet.

Building IFVIF: Developing an Environmental Intelligence Framework for Flood Vulnerability…

Over the past several months, I’ve been exploring how remote sensing, environmental intelligence, and spatial analysis can contribute to…

Building GlacioAware: Exploring Climate Intelligence Through Environmental Resilience

Over the past few months, I’ve become increasingly interested in understanding how environmental intelligence, climate resilience, and…

When the Map of Heat Looks Like the Map of History

What Phoenix census tracts reveal about urban heat and historical inequity

How I Built a Free, Reproducible Management Zone Workflow in Google Earth Engine

For growers, agronomists, and anyone tired of expensive precision ag tools, workflow using only free satellite, soil, and weather data.

How to Create an Air Quality Monitoring Dashboard Using Google Earth Engine

Introduction

Python Mapping & Data Visualization: How to Highlight Geographic Boundaries Using Python

Introduction

Is VIPCUB (Vip-Cube) the FAANG of the Earth Observation Defense Industry?

The most ambitious organizations to target by any researcher, software engineer to make a fortune, working on cutting edge developments and…

GIS-Based Flood Prediction and Disaster Management Using Remote Sensing

How GIS and Remote Sensing Help in Flood Risk Analysis and Disaster Management

🛰️🌍 GeoFMs in 5 Minutes: From Earth Observations to Embeddings

If you’ve heard about foundation models mainly in the context of text (LLMs), the same idea is now showing up for Earth observation…

Why NDVI doesn’t follow logistic growth?

Logistic growth is widely used to describe population dynamics. So it seems natural to compare it with NDVI based vegetation curves.

Albumentations in Geospatial: Who Actually Uses It

Albumentations is infrastructure in the satellite / remote-sensing ecosystem, not a research curio. This post is the receipts: which named…

Digital Soil Mapping with Satellite Embeddings

Introduction

Can AI Really Understand Our Land from Space?

We wanted to answer a simple question: can machines really understand our land just by looking from space? Using satellite images of Ranya…

AI/ML Enhancement Project — Describing a trained ML model with STAC

Introduction

The Digital Pulse: How We Are Wiring the Planet to Survive the Climate Crisis

A deep dive into the convergence of GIS, AI, and Digital Twins in 2026 and beyond.

Remote Sensing in Seismotectonic Studies: Seeing Deformation Where the Ground Appears Still

Many of the most important tectonic processes happen quietly. Faults accumulate strain for decades, sometimes centuries, without producing…

Land Surface Temperature Downscaling with Landsat-Sentinel Data Fusion

In the realm of urban climatology, we are constantly fighting a battle against the physical constraints of satellite sensors. While Land…

L’algorithme TES d’ASTER : Séparation température-émissivité par les modules NEM, RATIO et MMD

https://ieeexplore.ieee.org/document/700995 DOI: 10.1109/36.700995

Remote Sensing: How Satellites Convert Invisible Radiation Into Earth Data

Note: This post series is a distilled summary of concepts from Lecture 1–4 of the Remote Sensing series on YouTube. I created this as part…

Bagaimana Kandungan SO2 di Morowali, Sulawesi Tengah?

Teknologi remote sensing sangat berguna dalam melakukan pemantauan terhadap suatu peristiwa yang terjadi. Saat ini tersedia citra satelit…

How Satellites Track Weather: A Beginner’s Guide to GOES, Himawari & Meteosat

Ever check your phone at 6 AM, see storm clouds coming, and bail on your commute? Congrats — you just trusted a robot floating 22,000 miles…

The Hidden Pitfalls in Site Suitability Analysis: How Much Is “As Many Variables as Possible”?

A few weeks ago, while attending a symposium, a speaker confidently stated, “We used as many variables as possible in our site suitability…

The Math Behind Satellite Imagery Analytics: InSAR & AI

The math behind satellite imagery analytics: radiometry, linear algebra, InSAR, graph models, and AI workflows for mapping at scale.

How to Avoid Choking Your GPU with Inefficient Python Code

When working on tiny object detection in satellite imagery, even the most powerful GPU can be brought to its knees by inefficient Python…

Mapas de Riesgo de Deforestación en Proyectos REDD+ (VM0048) para Perú: Desafíos y Lecciones (Parte…

Entre la promesa de la IA y la realidad de la Amazonía, los nuevos mapas de riesgo de deforestación generan más incertidumbres que…

Enhancing Landsat Imagery Resolution: A Step-by-Step Pansharpening Guide in QGIS

Leitura de Artigo — Beyond the Visible: Multispectral Vision-Language Learning for Earth…

Introdução