AE	Autoencoder
AI	Artificial Intelligence
ANN	Artificial Neural Network
ARIMA	Autoregressive Integrated Moving Average
BOA	Boundary Overall Accuracy
CA	Class Accuracy
CART	Classification and Regression Trees
CB	Cubist Regression
CE	Commission Error
CNN	Convolutional Neural Network
COCO	Common Objects in Context
CPU	Central Processing Unit
CRF	Conditional Random Field
CV	Computer Vision
DL	Deep Learning
DNN	Dense Neural Network
DS	Dempster–Shafer Evidence Theory
DT	Decision Tree
DEM	Digital Elevation Model
ECE	Edge Commission Error
ELM	Extreme Learning Machine
ELR	Extreme Learning Regression
ESA	European Space Agency
EOE	Edge Omission Error
EOA	Edge Overall Accuracy
FN	False Negative
FP	False Positive
FWIoU	Frequency Weighted Intersection over Union
GA	Global Accuracy
GAN	Generative Adversarial Network
GBM	Gradient Boosted Machine
GE	Google Earth
GEE	Google Earth Engine
GPR	Gaussian Process Regression
GPU	Graphics Processing Unit
GRU	Gated Recurrent Unit
IoT	Internet of Things
IoU	Intersection over Union
Kappa	Kappa Coefficient
KNN	K-Nearest Neighbors Classifier
LORSAL	Logistic Regression via Variable Splitting and Augmented Lagrangian
LSTM	Long Short-Term Memory
MA	Mapping Accuracy
MAE	Mean Absolute Error
MAPE	Mean Absolute Percentage Error
mIoU	Mean Intersection over Union
MK	Mann–Kendall
ML	Machine Learning
MLC	Maximum-Likelihood Classifier
MLP	Multilayer Perceptron
MLR	Multiple Linear Regression
MNDWI	Modified Normalized Difference Water Index
MPC	Microsoft Planetary Computer
MRE	Mean Relative Error
MSE	Mean Squared Error
MSI	Morphological Shadow Index
NB	Naive Bayes Classifier
NDMI	Normalized Difference Moisture Index
NDVI	Normalized Difference Vegetation Index
NDWI	Normalized Difference Water Index
NIR	Near-Infrared
NN	Neural Network
NSEC	Nash–Sutcliffe Efficiency Coefficient
OA	Overall Accuracy
OE	Omission Error
PA	Producer’s Accuracy
PCC	Percent Classified Correctly
RBFNN	Radial Basis Function Neural Network
R-CNN	Region Based Convolutional Neural Network
RF	Random Forests
RMSE	Root Mean Squared Error
RMSLE	Root Mean Squared Log Error (referred to in Table 3 as RMSELE by the authors)
RNN	Recurrent Neural Network
RPART	Recursive Partitioning And Regression Trees
RPD	Relative Percent Difference
RS	Remote Sensing
SAR	Synthetic Aperture Radar
SRN	Simple Recurrent Network (same abbreviation given for Elman Neural Network)
SOTA	State-of-the-Art
SVM	Support Vector Machine
SVR	Support Vector Regression
SWIR	Short Wave Infrared
TB	Tree Bagger
TL	Transfer Learning
TN	True Negative
TP	True Positive
VHR	Very High Resolution
UA	User’s Accuracy
UAV	Unmanned Aerial Vehicle