---
title: Infrared and heat cameras film at night by catching light or warmth… — How nature documentaries are made: hides, camera… · tree and pragmatics
description: Infrared and heat cameras film at night by catching light or warmth our eyes cannot see; warm animals glow bright on heat cameras, while cold ground looks dark. Who acts: Infrared cameras, eyes, warm animals, cold ground. A sentence of the lesson «How nature documentaries are made: hides, camera tra
---

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# How nature documentaries are made: hides, camera traps, drones and years of waiting, sentence 14

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Infrared and heat cameras film at night by catching light or warmth our eyes cannot see; warm animals glow bright on heat cameras, while cold ground looks dark.

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**Who acts:** Infrared cameras, eyes, warm animals, cold ground · **What happens:** film, catch, not see, glow, look · **To what, where:** light, heat cameras

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This is a sentence of the lesson «How nature documentaries are made: hides, camera traps, drones and years of waiting» of the biology course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Infrared cameras, eyes, warm animals, cold ground), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson:14
# text = Infrared and heat cameras film at night by catching light or warmth our eyes cannot see; warm animals glow bright on heat cameras, while cold ground looks dark.
# source = school lesson (ours)
# course = biology
# lesson = 394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×2
1	Infrared	Infrared	PROPN	NNP	Number=Sing	4	compound	_	_
2	and	and	CCONJ	CC	_	3	cc	_	_
3	heat	heat	NOUN	NN	Number=Sing	1	conj	_	_
4	cameras	camera	NOUN	NNS	Number=Plur	5	nsubj	_	_
5	film	film	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	at	at	ADP	IN	_	7	case	_	_
7	night	night	NOUN	NN	Number=Sing	5	obl	_	_
8	by	by	SCONJ	IN	_	9	mark	_	_
9	catching	catch	VERB	VBG	Tense=Pres|VerbForm=Part	5	advcl	_	_
10	light	light	NOUN	NN	Number=Sing	9	obj	_	_
11	or	or	CCONJ	CC	_	12	cc	_	_
12	warmth	warmth	NOUN	NN	Number=Sing	10	conj	_	_
13	our	our	PRON	PRP$	Case=Gen|Number=Plur|Person=1|Poss=Yes|PronType=Prs	14	nmod:poss	_	_
14	eyes	eye	NOUN	NNS	Number=Plur	17	nsubj	_	_
15	can	can	AUX	MD	VerbForm=Fin	17	aux	_	_
16	not	not	PART	RB	Polarity=Neg	17	advmod	_	_
17	see	see	VERB	VB	VerbForm=Inf	9	advcl	_	_
18	;	;	PUNCT	:	_	21	punct	_	_
19	warm	warm	ADJ	JJ	Degree=Pos	20	amod	_	_
20	animals	animal	NOUN	NNS	Number=Plur	21	nsubj	_	_
21	glow	glow	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	conj	_	_
22	bright	bright	ADJ	JJ	Degree=Pos	21	xcomp	_	_
23	on	on	ADP	IN	_	25	case	_	_
24	heat	heat	NOUN	NN	Number=Sing	25	compound	_	_
25	cameras	camera	NOUN	NNS	Number=Plur	21	obl	_	Agree=R5-strong|Haiku=22:obl
26	,	,	PUNCT	,	_	30	punct	_	_
27	while	while	SCONJ	IN	_	30	mark	_	_
28	cold	cold	ADJ	JJ	Degree=Pos	29	amod	_	_
29	ground	ground	NOUN	NN	Number=Sing	30	nsubj	_	_
30	looks	look	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	21	advcl	_	Agree=R5-strong|Haiku=5:conj
31	dark	dark	ADJ	JJ	Degree=Pos	30	xcomp	_	_
32	.	.	PUNCT	.	_	5	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **film** | present | Infrared cameras |  |  |  | night |  | vn transcribe-25.4 «NP V NP»: agent=Agent |
| 2 | **catch** | gerund | Infrared cameras *not said here* | light or warmth |  |  |  |  | vn get-13.5.1 «NP V NP»: agent=Agent light=Theme |
| 3 | **not** **see** | can | our eyes |  |  |  |  |  | vn comprehend-87.2-1-1 «NP V»: agent=Experiencer |
| 4 | **glow** | present | warm animals |  |  | heat cameras |  | bright *property* | vn light\_emission-43.1 «NP V PP.location»: agent=Theme on camera=Location |
| 5 | **look** | present | cold ground |  |  |  |  | dark *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus |

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One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson:14`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×2. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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- ← previous: [How nature documentaries are made: hid…, 13](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/13/)
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