REMOTE SENSING AND GEO BIG DATA
MSc in Environmental Engineering - Climate change adaptation and mitigation
Mandatory course
1st year - 2nd teaching semester
9 CFU
Teachers
Prof. Mattia Crespi - mattia.crespi@uniroma1.it
Prof. Roberta Ravanelli - roberta.ravanelli@uniroma1.it
Teaching hours (effective) and classrooms
Tuesday 8:30-11:00 - RM031 via Eudossiana 18 - aula 47
Wednesday 11:15-13:45 - RM034 via Eudossiana 18 - aula 36
Thursday 8:30-10:00 - RM031 via Eudossiana 18 - aula 21
Lectures (tentative) calendar 2023-2024
Google Classroom - RSGBD-GG - 2023-2024
Google Classroom stream will be used to deliver all relevant (also real-time) information
to join - https://classroom.google.com/c/NjY1MjU0NjM1NjAx?cjc=agc2hkz
join with Sapienza institutional email only
Syllabus - Objectives and Topics
Why this course? - Geodesy contribution to climate research (A. Eicker) (VIDEO)
Lecture recordings (2022-2023)
Lecture recordings (2023-2024)
Information
1. post your request on the Google Classroom stream
or
2. e-mail to: mattia.crespi@uniroma1.it beginning the subject with [RSGBD]
Exam rules
It is always necessary to book in advance on Infostud to take the exam
Exam will consist of:
1. at least three written reports, to be prepared as homework, on the exercises developed during the course according to the following rules:
at least one report related to 1st group of exercises:
EXERCISE 1 - Reference frame transformations and coordinate system conversions
EXERCISE 2 - Absolute positioning and troposphere remote sensing
at least one report related to 2nd group of exercises:
EXERCISE 3 - Handling spectral indices
EXERCISE 4 - 3D reconstruction with Agisoft Metashape: satellite imagery
at least one report related to 3rd group of exercises:
EXERCISE 5 - Flood mapping with SAR
EXERCISE 6 - Machine Learning with Google Earth Engine
EXERCISE 7 - Drought monitoring with Google Earth Engine
each additional report, if correct, will be positively evaluated up to +1/30 for the final mark according to the following rule:
FMR = A + (N-3)*(A-18)/(30-18)
N = number of submitted reports
A = average mark of all the N submitted reports
FMR = final mark for reports
example:
N = 5
A = 27
if all reports are correct: FMR = 27 + 2*(27-18)/(30-18) = 28,5
all the reports must be submitted through Google Classroom at least one week before each exam session
2. a written questionnaire on some topics discussed during the course to be completed in two hours in the classroom during each exam session
example:
FMQ = 28
The final mark will be the average of the final mark for homework reports (FMR) and the final mark of classroom questionnaire (FMQ):
FM = (FMQ + FMR)/2 = 28,25 ---> (rounding) ---> 28
Exam rules for PhD candidates
Exam for PhD candidates attending (completely or partially) the course will consist in the written and oral presentation of a research project on one (or more) topic(s) of the course agreed in advance with the teachers.
Exams calendar (summer session 2024)
Classroom works (written questionnaires) will be held in the following dates:
13 June 2024
26 June 2024
10 July 2024
25 July 2024
18 September 2024
classroom numbers and hours will be communicated in due advance through Classroom stream.