Assessing sustainable development prospects through remote sensing: A review

R Avtar, AA Komolafe, A Kouser, D Singh… - … Society and environment, 2020 - Elsevier
The Earth's ecosystems face severe environmental stress from unsustainable
socioeconomic development linked to population growth, urbanization, and industrialization …

Applications of vegetative indices from remote sensing to agriculture: Past and future

JL Hatfield, JH Prueger, TJ Sauer, C Dold, P O'brien… - Inventions, 2019 - mdpi.com
Remote sensing offers the capability of observing an object without being in contact with the
object. Throughout the recent history of agriculture, researchers have observed that different …

Urban tree species classification using a WorldView-2/3 and LiDAR data fusion approach and deep learning

S Hartling, V Sagan, P Sidike, M Maimaitijiang… - Sensors, 2019 - mdpi.com
Urban areas feature complex and heterogeneous land covers which create challenging
issues for tree species classification. The increased availability of high spatial resolution …

Crop classification using spectral indices derived from Sentinel-2A imagery

N Kobayashi, H Tani, X Wang… - Journal of Information and …, 2020 - Taylor & Francis
Optical remote sensing is one of the most attractive options for generating crop cover maps
because it enables computation of vegetation indices, which are useful for assessing the …

Mapping tree canopy cover and aboveground biomass in Sudano-Sahelian woodlands using Landsat 8 and random forest

M Karlson, M Ostwald, H Reese, J Sanou, B Tankoano… - Remote Sensing, 2015 - mdpi.com
Accurate and timely maps of tree cover attributes are important tools for environmental
research and natural resource management. We evaluate the utility of Landsat 8 for …

Wildfire damage assessment over Australia using sentinel-2 imagery and MODIS land cover product within the google earth engine cloud platform

ST Seydi, M Akhoondzadeh, M Amani, S Mahdavi - Remote Sensing, 2021 - mdpi.com
Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …

Landsat's role in ecological applications of remote sensing

WB Cohen, SN Goward - Bioscience, 2004 - academic.oup.com
Abstract Remote sensing, geographic information systems, and modeling have combined to
produce a virtual explosion of growth in ecological investigations and applications that are …

Spatial prediction of soil organic carbon using machine learning techniques in western Iran

H Mahmoudzadeh, HR Matinfar… - Geoderma …, 2020 - Elsevier
Estimation of soil organic carbon (SOC) is very useful for accurate monitoring of carbon
sequestration. However, there are still significant gaps in the knowledge of SOC reserves in …

Crop classification from Sentinel-2-derived vegetation indices using ensemble learning

R Sonobe, Y Yamaya, H Tani, X Wang… - Journal of Applied …, 2018 - spiedigitallibrary.org
The identification and mapping of crops are important for estimating potential harvest as well
as for agricultural field management. Optical remote sensing is one of the most attractive …

Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests

JL Lovell, DLB Jupp, DS Culvenor… - Canadian Journal of …, 2003 - Taylor & Francis
Airborne and ground-based lidars are useful tools to probe the structure of forest canopies.
Such information is not readily available from other remote sensing methods but is essential …