Results 211 to 220 of about 117,891 (325)

Reinforcement learning based dynamic vegetation index formulation for rice crop stress detection using satellite and mobile imagery. [PDF]

Sci Rep
Seralathan P, Edward AS.
europepmc   +1 more source

CROP CONDITION ASSESSMENT OF GROUNDNUT USING TIME SERIES NDVI DATA IN ANANTAPUR DISTRICT, ANDHRA PRADESH

, 2018
V. Sudha Vani, K. Pavan Kumar
openalex   +1 more source

Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT In many real‐world applications of machine learning, we are interested to know if it is possible to train on the data that we have gathered so far, and obtain accurate predictions on a new test data subset that is qualitatively different in some respect (time period, geographic region, etc.).
Toby Dylan Hocking, Gabrielle Thibault, Cameron Scott Bodine, Paul Nelson Arellano, Alexander F. Shenkin, Olivia Jasmine Lindly   +5 more
wiley   +1 more source

Spatial heterogeneity in the temperature-hand, foot, and mouth disease association among children: A multicounty time-series study in western China. [PDF]

PLoS Negl Trop Dis
Sun J, Yao G, Gu J, Tang H, Wu Y, Chang Y, Chen J, Zhang W, Du Z, Hao Y.   +9 more
europepmc   +1 more source

Detection of Vegetation Coverage in Urban Agglomeration of Brussels by NDVI Indicator Using eCognition Software and Remote Sensing Measurements

, 2014
Polina Lemenkova
openalex   +2 more sources

Lessons From Uganda's Earth Observation‐Based Disaster Risk Financing Program

AGU Advances, Volume 7, Issue 1, February 2026.
Abstract Earth observation (EO) technologies are increasingly driving parametric insurance and risk financing for climate disasters, yet few operational programs demonstrate effective integration within national government systems. Uganda's Disaster Risk Financing Program (2016–2020) provides a rare example of satellite‐triggered financing operating at
Catherine Nakalembe
wiley   +1 more source

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Pujari PS, Gugulothu S, Kottala RB, Mannala P, Alkhuraiji WS, Thamaga KH, Zhran M.   +8 more
europepmc   +1 more source

Impacts of Climate Change and Human Activities on Global Mountain Grasslands: Insights Into the Last Two Decades and Future Climate Scenarios

Earth's Future, Volume 14, Issue 2, February 2026.
Abstract Mountain grasslands are vital ecosystems providing critical services such as carbon sequestration, water regulation, and biodiversity conservation. However, these ecosystems are increasingly threatened by climate change and human activities. This study evaluates vegetation dynamics in global mountain grasslands (2000–2021) using remote sensing
Mulun Na, Giulia Zuecco, Paolo Tarolli
wiley   +1 more source

Spatial and temporal patterns of vegetation carbon sources/sinks and driving factors in southeastern Xizang from 2000 to 2020. [PDF]

PeerJ
Han J, Meng X, Lin L, Lu J.
europepmc   +1 more source

John Peralta Farm (NDVI) June 18 2025

Andrea Velasquez, Jonelle Sayama, John Borja, Keanno Fausto, R.F. King, Leslie J. Camacho Aquino   +5 more
openalex   +1 more source